Triple
T19294233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Largentière |
E482519
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object | Les Vans |
—
|
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: Les Vans | Statement: [arrondissement of Largentière, containsAdministrativeTerritorialEntity, Les Vans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Vans Context triple: [arrondissement of Largentière, containsAdministrativeTerritorialEntity, Les Vans]
-
A.
Les Vans
chosen
Les Vans is a small commune in the Ardèche department of southern France, known for its scenic setting near the Chassezac river and as a gateway to outdoor activities in the Cévennes region.
-
B.
Vans
Vans is an American footwear and apparel brand best known for its skate shoes and strong ties to skateboarding and youth street culture.
-
C.
Stussy
Stussy is a surname most notably associated with characters in the television series "Fargo" and with various real-life individuals.
-
D.
Billabong
Billabong is an Australian surfwear and lifestyle brand known for its boardshorts, swimwear, and beach-oriented apparel.
-
E.
Vlone
Vlone is a track by Chicago rapper Valee known for its minimalist production and laid-back, off-kilter flow.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc84500c81908ac53711335ad2d9 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.