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.