Triple
T16619349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haut-Chablais |
E403781
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | La Forclaz (Haute-Savoie) |
E923169
|
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: La Forclaz (Haute-Savoie) | Statement: [Haut-Chablais, hasMember, La Forclaz (Haute-Savoie)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Forclaz (Haute-Savoie) Context triple: [Haut-Chablais, hasMember, La Forclaz (Haute-Savoie)]
-
A.
Col de la Forclaz area
chosen
The Col de la Forclaz area is a popular mountain pass region above Lake Annecy in the French Alps, known for its panoramic views and as a hub for hiking and paragliding.
-
B.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
-
C.
Faucigny
Faucigny is a historical region in the French Alps that once formed part of the medieval domains of the Counts of Savoy.
-
D.
Chevrier, Haute-Savoie
Chevrier is a small commune in the Haute-Savoie department of southeastern France, near the Swiss border in the Auvergne-Rhône-Alpes region.
-
E.
Glâne
Glâne is a river in western Switzerland that flows through the canton of Fribourg before joining the Broye River.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754c934c8190a0a8ddd747681aa7 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.