Triple
T2674247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pernand-Vergelesses |
E56419
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ladoix-Serrigny |
E59134
|
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: Ladoix-Serrigny | Statement: [Pernand-Vergelesses, near, Ladoix-Serrigny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ladoix-Serrigny Context triple: [Pernand-Vergelesses, near, Ladoix-Serrigny]
-
A.
Ladoix-Serrigny
chosen
Ladoix-Serrigny is a wine-producing village in Burgundy’s Côte de Beaune region of France, known for its red and white wines from nearby prestigious vineyards.
-
B.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
-
C.
Chêne-Bourg
Chêne-Bourg is a municipality in western Switzerland located in the canton of Geneva, forming part of the Geneva metropolitan area near the French border.
-
D.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
E.
Andilly
Andilly is a small commune in the Val-d'Oise department in the northern suburbs of Paris, France.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b228cc819097f045b4a51d8e7c |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367e000dc8190baba64c6e8ccf308 |
completed | March 13, 2026, 1:26 a.m. |
Created at: March 6, 2026, 9:54 p.m.