Triple
T9894626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedous |
E181538
|
entity |
| Predicate | locatedInArrondissement |
P26130
|
FINISHED |
| Object | Oloron-Sainte-Marie |
E453921
|
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: Oloron-Sainte-Marie | Statement: [Bedous, locatedInArrondissement, Oloron-Sainte-Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oloron-Sainte-Marie Context triple: [Bedous, locatedInArrondissement, Oloron-Sainte-Marie]
-
A.
Oloron-Sainte-Marie
chosen
Oloron-Sainte-Marie is a historic town in southwestern France, known as a gateway to the Pyrenees and for its Romanesque cathedral and traditional Béarnaise culture.
-
B.
Cazères
Cazères is a small commune in southwestern France situated in the Haute-Garonne department, known for its location along the Garonne River.
-
C.
Ribérac
Ribérac is a small historic town in southwestern France’s Dordogne department, known for its traditional markets and rural charm.
-
D.
Sarlat-la-Canéda
Sarlat-la-Canéda is a well-preserved medieval town in southwestern France, renowned for its historic architecture, cobbled streets, and vibrant markets in the Périgord Noir region.
-
E.
Saint-Junien
Saint-Junien is a commune in west-central France known for its historical leather and glove-making industry and its location along the Vienne River.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4a89e148190901753e67483d72c |
completed | April 2, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb0d984c81908408f90f156624e5 |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:39 p.m.