Triple
T12000863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montélimar |
E285655
|
entity |
| Predicate | regionNickname |
P23440
|
FINISHED |
| Object | Drôme provençale |
E65484
|
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: Drôme provençale | Statement: [Montélimar, regionNickname, Drôme provençale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drôme provençale Context triple: [Montélimar, regionNickname, Drôme provençale]
-
A.
Provence
Provence is a historic region in southeastern France known for its picturesque lavender fields, Mediterranean coastline, and rich cultural and culinary traditions.
-
B.
Draguignan
Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
-
C.
Moûtiers
Moûtiers is a small town in the French Alps that serves as a key gateway and transport hub for several major ski resorts in the Tarentaise region.
-
D.
Bonnieux
Bonnieux is a picturesque hilltop village in southeastern France’s Provence region, known for its historic stone houses, terraced streets, and panoramic views over the Luberon valley.
-
E.
Drôme
chosen
Drôme is a department in southeastern France known for its diverse landscapes, historic towns, and location between the Alps and the Rhône Valley.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4729eb4a081909d93b3fc74509d86 |
completed | May 1, 2026, 9:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.