Triple
T5014256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyon tramway line T1 |
E112701
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Debourg
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
|
E491466
|
NE FINISHED |
How this triple was built (4 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: Debourg | Statement: [Lyon tramway line T1, terminus, Debourg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debourg Context triple: [Lyon tramway line T1, terminus, Debourg]
-
A.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
B.
Bertogne
Bertogne is a rural municipality in the Luxembourg province of Wallonia in southeastern Belgium.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Hautepierre
Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
-
E.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
- 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: Debourg Triple: [Lyon tramway line T1, terminus, Debourg]
Generated description
Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debourg Target entity description: Debourg is a tram terminus and transport hub in Lyon, France, serving as one end of the city’s T1 tram line.
-
A.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
-
B.
Bertogne
Bertogne is a rural municipality in the Luxembourg province of Wallonia in southeastern Belgium.
-
C.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
D.
Hautepierre
Hautepierre is a residential district in the western part of Strasbourg, France, known for its large housing estates and local commercial centers.
-
E.
Larroquette
Larroquette is the surname of John Larroquette, an American actor best known for his Emmy-winning role as Dan Fielding on the sitcom "Night Court."
- F. None of above. chosen
Provenance (5 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7310c5b08190a5c9ab0f9fe9569f |
completed | March 20, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0e72c4c819097ed50db44496bd8 |
completed | March 21, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69beb1b0ce9481908865c388cb661ed4 |
completed | March 21, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb21233cc8190b1d0f583fe557c68 |
completed | March 21, 2026, 2:58 p.m. |
Created at: March 20, 2026, 1:35 p.m.