Triple
T13343306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château d'Azay-le-Rideau |
E317880
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Azay-le-Rideau |
E317880
|
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: Azay-le-Rideau | Statement: [Château d'Azay-le-Rideau, locatedIn, Azay-le-Rideau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azay-le-Rideau Context triple: [Château d'Azay-le-Rideau, locatedIn, Azay-le-Rideau]
-
A.
Azay-le-Rideau
chosen
Azay-le-Rideau is a picturesque commune in central France best known for its Renaissance château set on an island in the Indre River.
-
B.
Trois-Ponts
Trois-Ponts is a small municipality in the province of Liège in Wallonia, Belgium, known for its scenic Ardennes landscape and railway junction.
-
C.
Val-d’Auzon
Val-d’Auzon is a small commune in the Aube department of north-central France, situated within the Grand Est region.
-
D.
Oyonnax
Oyonnax is a town in eastern France’s Ain department, known historically for its plastics industry and its role in the French Resistance during World War II.
-
E.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f417e4081908ab2025a313bfad1 |
completed | May 3, 2026, 10:11 a.m. |
Created at: April 9, 2026, 9:31 p.m.