Triple
T319077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare Montparnasse |
E7771
|
entity |
| Predicate | incident |
P1664
|
FINISHED |
| Object |
Montparnasse derailment
The Montparnasse derailment was a famous 1895 train accident in Paris in which a locomotive overran the buffers at Gare Montparnasse and dramatically crashed through the station wall onto the street below.
|
E41189
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Montparnasse derailment | Statement: [Gare Montparnasse, incident, Montparnasse derailment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montparnasse derailment Context triple: [Gare Montparnasse, incident, Montparnasse derailment]
-
A.
2009 Red Line collision
The 2009 Red Line collision was a deadly rear-end crash between two Washington Metro trains near Fort Totten station that became one of the worst accidents in the system’s history and prompted major safety reforms.
-
B.
Massacre of Vassy
The Massacre of Vassy was a 1562 attack by French Catholic troops on Huguenot worshippers that sparked open civil war and is widely seen as the event that ignited the French Wars of Religion.
-
C.
September Massacres
The September Massacres were a wave of brutal killings of prisoners in Paris in early September 1792, reflecting the radicalization and violent popular justice that marked a turning point in the French Revolution.
-
D.
Hamburg massacre
The Hamburg massacre was an 1876 white supremacist attack in Hamburg, South Carolina, in which armed Democrats killed and terrorized Black militiamen and citizens to help overthrow Reconstruction-era Republican rule.
-
E.
Great Holland Fire of 1871
The Great Holland Fire of 1871 was a devastating conflagration that destroyed much of Holland, Michigan, during the same period as the Great Chicago Fire and other major Midwest fires.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Montparnasse derailment Triple: [Gare Montparnasse, incident, Montparnasse derailment]
Generated description
The Montparnasse derailment was a famous 1895 train accident in Paris in which a locomotive overran the buffers at Gare Montparnasse and dramatically crashed through the station wall onto the street below.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montparnasse derailment Target entity description: The Montparnasse derailment was a famous 1895 train accident in Paris in which a locomotive overran the buffers at Gare Montparnasse and dramatically crashed through the station wall onto the street below.
-
A.
2009 Red Line collision
The 2009 Red Line collision was a deadly rear-end crash between two Washington Metro trains near Fort Totten station that became one of the worst accidents in the system’s history and prompted major safety reforms.
-
B.
Massacre of Vassy
The Massacre of Vassy was a 1562 attack by French Catholic troops on Huguenot worshippers that sparked open civil war and is widely seen as the event that ignited the French Wars of Religion.
-
C.
September Massacres
The September Massacres were a wave of brutal killings of prisoners in Paris in early September 1792, reflecting the radicalization and violent popular justice that marked a turning point in the French Revolution.
-
D.
Hamburg massacre
The Hamburg massacre was an 1876 white supremacist attack in Hamburg, South Carolina, in which armed Democrats killed and terrorized Black militiamen and citizens to help overthrow Reconstruction-era Republican rule.
-
E.
Great Holland Fire of 1871
The Great Holland Fire of 1871 was a devastating conflagration that destroyed much of Holland, Michigan, during the same period as the Great Chicago Fire and other major Midwest fires.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incident Context triple: [Gare Montparnasse, incident, Montparnasse derailment]
-
A.
issue
Indicates that an entity formally publishes, releases, or distributes something, such as a document, statement, or item, often in an official or authoritative capacity.
-
B.
event
chosen
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
-
C.
fault
Indicates that one entity is responsible or at blame for a problem, error, or undesirable outcome involving another entity or situation.
-
D.
notableInfrastructureFailure
Indicates that a significant piece of infrastructure has failed or malfunctioned in a way that disrupts its normal operation or intended service.
-
E.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb7df63c8190b7cd1bcfdfd96187 |
completed | Feb. 28, 2026, 1:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3c8ba3304819099db7b60f2c83c8b |
completed | March 1, 2026, 5:03 a.m. |
| NEDg | Description generation | batch_69a3c93ce2308190b2df5c939691a2ce |
completed | March 1, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ca020b7081909b54e311c173ef21 |
completed | March 1, 2026, 5:09 a.m. |
| PD | Predicate disambiguation | batch_69a2e94513ec819089f5177f7a521e65 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.