Triple
T9715717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Olivier |
E235137
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Leognan |
E248664
|
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: Leognan | Statement: [Château Olivier, locatedIn, Leognan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leognan Context triple: [Château Olivier, locatedIn, Leognan]
-
A.
Léognan
chosen
Léognan is a renowned wine-producing commune in southwestern France, celebrated for its prestigious red and white Bordeaux wines.
-
B.
Ornavasso
Ornavasso is a town in northern Italy notable for its rich archaeological remains linked to the ancient Lepontic Celtic culture.
-
C.
Calolziocorte
Calolziocorte is a town and municipality in the Lombardy region of northern Italy, situated near Lake Como and the Adda River.
-
D.
Grinzane Cavour
Grinzane Cavour is a historic village in Italy’s Piedmont region, renowned for its medieval castle and its role in the production of Barolo wine.
-
E.
Lomazzo
Lomazzo is a town in northern Italy’s Lombardy region, situated between Como and Milan and known for its residential character and local industry.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0bb82081908e21a646f4de1a61 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcc45bfc81909b86d10598d9bd39 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:20 p.m.