Triple
T11954244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Flour |
E284509
|
entity |
| Predicate | historicalProvince |
P915
|
FINISHED |
| Object | Haute-Auvergne |
E213603
|
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: Haute-Auvergne | Statement: [Saint-Flour, historicalProvince, Haute-Auvergne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haute-Auvergne Context triple: [Saint-Flour, historicalProvince, Haute-Auvergne]
-
A.
Auvergne
chosen
Auvergne is a historic region in central France known for its volcanic landscapes, rural character, and Romanesque heritage.
-
B.
Livradois-Forez
Livradois-Forez is a mountainous natural and regional park area in central France known for its forests, rural landscapes, and traditional villages within the Auvergne region.
-
C.
Rouergue
Rouergue is a historic cultural region in southern France, centered around the present-day Aveyron department and known for its rural landscapes, medieval towns, and Occitan heritage.
-
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.
Auvergnat
Auvergnat is a variety of the Occitan language traditionally spoken in France’s Auvergne region and surrounding areas.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63edbcd288190b491a16f2bf8fc62 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:45 p.m.