Triple
T13958462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux Métropole |
E335728
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Villenave-d’Ornon |
E257739
|
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: Villenave-d’Ornon | Statement: [Bordeaux Métropole, contains, Villenave-d’Ornon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villenave-d’Ornon Context triple: [Bordeaux Métropole, contains, Villenave-d’Ornon]
-
A.
Villenave-d’Ornon
chosen
Villenave-d’Ornon is a suburban commune in southwestern France, located near Bordeaux and known for its role in the Pessac-Léognan wine-growing area.
-
B.
Villeneuve-d'Ornon
Villeneuve-d'Ornon is a suburban commune in southwestern France, forming part of the Bordeaux metropolitan area in the Gironde department.
-
C.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
D.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
E.
Valldoreix
Valldoreix is a residential district within the municipality of Sant Cugat del Vallès in Catalonia, Spain, known for its suburban character and green surroundings.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2df73c8190aeb6f472ac7ebeed |
completed | May 8, 2026, 5:52 a.m. |
Created at: April 9, 2026, 10:17 p.m.