Triple
T10497483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gave de Pau |
E247575
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Gavarnie |
E293691
|
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: Gavarnie | Statement: [Gave de Pau, passesNear, Gavarnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavarnie Context triple: [Gave de Pau, passesNear, Gavarnie]
-
A.
Vallée de Gavarnie
Vallée de Gavarnie is a renowned glacial valley in the French Pyrenees, famous for its dramatic cirque, towering cliffs, and spectacular waterfalls.
-
B.
Gave de Gavarnie river
chosen
The Gave de Gavarnie is a mountain river in the central French Pyrenees that drains the famous Cirque de Gavarnie and feeds into the Gave de Pau.
-
C.
Gave d’Ossau
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.
Gorges de l’Areuse
Gorges de l’Areuse is a dramatic river gorge in the Swiss canton of Neuchâtel, known for its narrow rock passages, waterfalls, and scenic hiking trails.
-
E.
Vatry
Vatry is a small commune in the Marne department of northeastern France, known primarily for hosting the nearby Châlons Vatry Airport.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098d8ac481909c4adedbc4ad1c03 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dd040f48190a645ebd131f9205c |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:25 p.m.