Triple
T16508447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valence-d'Agen |
E400991
|
entity |
| Predicate | hasLocalLanguageName |
P21937
|
FINISHED |
| Object | Valença d'Agen |
E400991
|
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: Valença d'Agen | Statement: [Valence-d'Agen, hasLocalLanguageName, Valença d'Agen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valença d'Agen Context triple: [Valence-d'Agen, hasLocalLanguageName, Valença d'Agen]
-
A.
Caudéran
Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
-
B.
Valence-d'Agen
chosen
Valence-d'Agen is a small commune in southwestern France known for its traditional markets and location along the Canal de Garonne.
-
C.
Thuès-Entre-Valls
Thuès-Entre-Valls is a small commune in the Pyrénées-Orientales department of southern France, situated in the mountainous Conflent region of the Pyrenees.
-
D.
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
E.
Limoux
Limoux is a small town in southern France known for its sparkling wine Blanquette de Limoux and its long-running carnival traditions.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e54331c8190b3c4f9de95cbbc5e |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005832bcb48190a905ee7c9bff2c5b |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.