Triple
T17915855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavedan |
E447923
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cauterets valley |
—
|
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: Cauterets valley | Statement: [Lavedan, contains, Cauterets valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cauterets valley Context triple: [Lavedan, contains, Cauterets valley]
-
A.
Cauterets valley
chosen
Cauterets valley is a scenic glacial valley in the French Pyrenees known for its mountain lakes, waterfalls, and spa town of Cauterets.
-
B.
Valtournenche Valley
Valtournenche Valley is a scenic alpine valley in Italy’s Aosta region, known for its dramatic mountain landscapes and proximity to the Matterhorn.
-
C.
Eyrieux valley
Eyrieux valley is a scenic river valley in the Ardèche department of southeastern France, known for its terraced landscapes, chestnut groves, and outdoor recreation along the Eyrieux River.
-
D.
Gave de Pau valley
The Gave de Pau valley is a scenic river valley in southwestern France, known for its picturesque landscapes and views from the city of Pau and its historic funicular.
-
E.
Salagou valley
Salagou valley is a scenic region in southern France known for its striking red soils, Lake Salagou, and distinctive Mediterranean landscapes.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3054f048190a98a3b314cd82d5c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.