Triple
T7752319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Légion étrangère |
E175796
|
entity |
| Predicate | trainingCenter |
P335
|
FINISHED |
| Object | Castelnaudary |
E115426
|
NE FINISHED |
How this triple was built (2 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: Castelnaudary | Statement: [La Légion étrangère, trainingCenter, Castelnaudary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castelnaudary Context triple: [La Légion étrangère, trainingCenter, Castelnaudary]
-
A.
Castelnaudary
chosen
Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
-
B.
Castelnau
Castelnau is a district in the London Borough of Richmond upon Thames, known for its broad avenue of Victorian villas leading to Hammersmith Bridge.
-
C.
Montauban
Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
-
D.
Benacre
Benacre is a small coastal village and civil parish in the county of Suffolk in eastern England, known for its rural landscape and proximity to the Benacre National Nature Reserve.
-
E.
Castelroussin
Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703b382588190ad8dc7138987829a |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be5a649c81909c94d629348b34fc |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:08 p.m.