Triple
T16412040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portes du Soleil |
E398589
|
entity |
| Predicate | hasResort |
P4287
|
FINISHED |
| Object | Abondance |
E912632
|
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: Abondance | Statement: [Portes du Soleil, hasResort, Abondance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abondance Context triple: [Portes du Soleil, hasResort, Abondance]
-
A.
Abondance
Abondance is a Cubist painting by French artist Henri Le Fauconnier, recognized for its bold geometric forms and vibrant, fragmented depiction of figures and space.
-
B.
Abondance
chosen
Abondance is a traditional alpine village in the French Haute-Savoie region, renowned for its namesake cheese and picturesque mountain setting.
-
C.
Ornières
Ornières is one of the prose-poems in Arthur Rimbaud’s influential collection Les Illuminations, noted for its vivid, experimental imagery.
-
D.
Auregnais
Auregnais is an extinct Norman dialect once spoken on the Channel Island of Alderney.
-
E.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32874a0cc8190874aea10b1d13004 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c68b7408190a9612a57f146dc30 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.