Triple
T13909688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valtournenche |
E334454
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Torgnon |
E1079131
|
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: Torgnon | Statement: [Valtournenche, locatedNear, Torgnon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torgnon Context triple: [Valtournenche, locatedNear, Torgnon]
-
A.
Torgnon
chosen
Torgnon is a small alpine municipality in Italy’s Aosta Valley, known for its ski slopes, hiking trails, and panoramic views of the surrounding mountains.
-
B.
Le Luc
Le Luc is a commune in the Var department of southeastern France, known for its location in the Provence-Alpes-Côte d'Azur region and its surrounding vineyards and Mediterranean landscapes.
-
C.
Gave de Cauterets
Gave de Cauterets is a mountain river in the French Pyrenees that flows through the spa town of Cauterets and contributes to the upper Gave de Pau watershed.
-
D.
Val-Cenis
Val-Cenis is a French Alpine commune and ski resort area in the Savoie department, known for its mountain landscapes and winter sports tourism.
-
E.
Léognan
Léognan is a renowned wine-producing commune in southwestern France, celebrated for its prestigious red and white Bordeaux wines.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2721ec6c8190888f4a9d004eb8e0 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdef1e4608190a137f340e06d5ddb |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:16 p.m.