Triple
T13958476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bordeaux Métropole |
E335728
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Carbon-Blanc |
E874612
|
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: Carbon-Blanc | Statement: [Bordeaux Métropole, contains, Carbon-Blanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carbon-Blanc Context triple: [Bordeaux Métropole, contains, Carbon-Blanc]
-
A.
Carbon-Blanc
chosen
Carbon-Blanc is a suburban commune in southwestern France located near the city of Bordeaux.
-
B.
Carbonne
Carbonne is a small commune in southwestern France, known for its picturesque setting along the Garonne River and traditional rural charm.
-
C.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
-
D.
Carbone
Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
-
E.
Leblanc
Leblanc is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables," to conceal his identity.
- 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_69fba1d490048190b28cb44dd4ec46c4 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.