Triple
T2680264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallée de Gavarnie |
E56555
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | village of Gavarnie |
E56555
|
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: village of Gavarnie | Statement: [Vallée de Gavarnie, near, village of Gavarnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: village of Gavarnie Context triple: [Vallée de Gavarnie, near, village of Gavarnie]
-
A.
Vallée de Gavarnie
chosen
Vallée de Gavarnie is a renowned glacial valley in the French Pyrenees, famous for its dramatic cirque, towering cliffs, and spectacular waterfalls.
-
B.
Bagnères-de-Bigorre
Bagnères-de-Bigorre is a spa and ski resort town in the French Pyrenees, known for its thermal baths and mountain tourism.
-
C.
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.
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Truyère gorge
Truyère gorge is a deep, scenic river canyon in southern France known for its dramatic landscapes and engineering landmarks such as the Garabit Viaduct.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d36ea8819094ada73d86ffaa8b |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa06a3eb48190891326891222766d |
completed | March 10, 2026, 4:39 a.m. |
Created at: March 6, 2026, 9:54 p.m.