Triple
T12721528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bielle |
E303996
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Gave d’Ossau valley |
E307664
|
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: Gave d’Ossau valley | Statement: [Bielle, locatedOn, Gave d’Ossau valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gave d’Ossau valley Context triple: [Bielle, locatedOn, Gave d’Ossau valley]
-
A.
Vallée d’Ossau
Vallée d’Ossau is a scenic valley in the French Pyrenees known for its dramatic mountain landscapes, traditional pastoral villages, and popular hiking routes.
-
B.
Ubaye Valley
The Ubaye Valley is a scenic alpine valley in the French Alps known for its rugged mountain landscapes, outdoor sports, and traditional Provençal mountain villages.
-
C.
Gave d’Ossau
chosen
Gave d’Ossau is a mountain river in the French Pyrenees that drains the Ossau Valley and contributes to the Gave de Pau watershed.
-
D.
Grésivaudan Valley
The Grésivaudan Valley is a broad alpine valley in southeastern France, known for its scenic landscapes, agricultural plains, and proximity to the city of Grenoble.
-
E.
Giffre valley
Giffre valley is a scenic alpine valley in the French Alps known for its dramatic limestone cliffs, waterfalls, and traditional mountain villages.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964133fe481909a44b8159ab8997b |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b96f72881909090691e99bb2425 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:24 p.m.