Triple
T1841506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TER |
E41185
|
entity |
| Predicate | hasSubclass |
P1244
|
FINISHED |
| Object | TER Pays de la Loire |
E43232
|
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 Pays de la Loire | Statement: [TER, hasSubclass, TER Pays de la Loire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TER Pays de la Loire Context triple: [TER, hasSubclass, TER Pays de la Loire]
-
A.
Centre-Val de Loire
Centre-Val de Loire is a central French region known for its Loire Valley châteaux, historic towns, and extensive agricultural landscapes.
-
B.
Pays de la Loire
chosen
Pays de la Loire is a region in western France known for its Atlantic coastline, historic cities like Nantes and Angers, and numerous Loire Valley châteaux.
-
C.
Maine-et-Loire
Maine-et-Loire is a department in western France known for its historic towns, châteaux, and vineyards along the Loire River.
-
D.
Touraine
Touraine is a historic region in central France, famed for its Loire Valley châteaux, wine production, and role as a former royal heartland.
-
E.
Nouvelle-Aquitaine
Nouvelle-Aquitaine is the largest administrative region of France, located in the southwest and known for its Atlantic coastline, wine regions like Bordeaux, and diverse cultural and natural landscapes.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb03e7a7481909c5b902034390ef1 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce7154648190aa55d54ca5e50559 |
completed | March 10, 2026, 7:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.