Triple
T2286314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Versailles-Chantiers station |
E51398
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | TER Bretagne |
E206986
|
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: TER Bretagne | Statement: [Versailles-Chantiers station, operatedBy, TER Bretagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TER Bretagne Context triple: [Versailles-Chantiers station, operatedBy, TER Bretagne]
-
A.
TER Bretagne
chosen
TER Bretagne is the regional rail network operated by SNCF that provides passenger train services throughout the Brittany region of France.
-
B.
Le Breton
Le Breton is a French surname borne by various notable figures, including publishers, politicians, and artists.
-
C.
Mor Breizh
Mor Breizh is the Breton name for the English Channel, the arm of the Atlantic Ocean that separates southern England from northern France.
-
D.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
E.
Brittany
Brittany is a historic cultural region in northwest France known for its distinct Celtic heritage, Breton language, rugged coastline, and strong Catholic traditions.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24730208190af8a5cf443d334f7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1b2a7c8190aa836f9feba2ce1a |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.