Triple
T12122842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Jean-Pied-de-Port |
E288735
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object | Nive de Béhérobie |
E837536
|
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: Nive de Béhérobie | Statement: [Saint-Jean-Pied-de-Port, crossedBy, Nive de Béhérobie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nive de Béhérobie Context triple: [Saint-Jean-Pied-de-Port, crossedBy, Nive de Béhérobie]
-
A.
Nive de Béhérobie
chosen
Nive de Béhérobie is a headwater stream in the French Basque Country that forms one of the main upper branches of the Nive River.
-
B.
Guerin
Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
-
C.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
D.
Surpierre
Surpierre is a small municipality in the canton of Fribourg in western Switzerland.
-
E.
Le Bémont
Le Bémont is a small municipality in the Jura canton of Switzerland, situated on the Franches-Montagnes plateau and known for its rural, pastoral landscape.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91578fd88819099adf55c93d549fc |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f686d6c08190b1f1ca2d5a51f5df |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.