Triple
T17915946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansois |
E447925
|
entity |
| Predicate | grownIn |
P8732
|
FINISHED |
| Object | Entraygues-le-Fel |
—
|
NE NERFINISHED |
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: Entraygues-le-Fel | Statement: [Mansois, grownIn, Entraygues-le-Fel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entraygues-le-Fel Context triple: [Mansois, grownIn, Entraygues-le-Fel]
-
A.
Entraygues-sur-Truyère
chosen
Entraygues-sur-Truyère is a picturesque commune in southern France’s Aveyron department, known for its medieval village center at the confluence of the Lot and Truyère rivers.
-
B.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
-
C.
Yerville
Yerville is a small commune in the Seine-Maritime department of the Normandy region in northern France.
-
D.
Eygalières
Eygalières is a picturesque Provençal village in southern France, known for its stone houses, historic charm, and scenic setting amid the Alpilles hills.
-
E.
Olliergues
Olliergues is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.