Triple
T17600484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argelès-Gazost |
E428686
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Gave de Pau |
—
|
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: Gave de Pau | Statement: [Argelès-Gazost, locatedOnRiver, Gave de Pau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gave de Pau Context triple: [Argelès-Gazost, locatedOnRiver, Gave de Pau]
-
A.
Gave de Pau
chosen
Gave de Pau is a river in southwestern France that flows through the city of Pau and forms part of the Adour river system in the Pyrenees region.
-
B.
Pélissier
Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
-
C.
Rebecq
Rebecq is a municipality in the Belgian province of Walloon Brabant, known for its rural character and historic watermills.
-
D.
Gagnière
Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
-
E.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
- 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4812d48190bf8e899fa8f7fbe4 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.