Triple
T22861450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezons |
E566931
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Bezonais |
—
|
NE NERFINISHED |
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: Bezonais | Statement: [Bezons, hasDemonym, Bezonais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezonais Context triple: [Bezons, hasDemonym, Bezonais]
-
A.
Bezonais
chosen
Bezonais is the term used to refer to inhabitants of the French commune of Bezons, located in the Île-de-France region near Paris.
-
B.
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
-
C.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
D.
Montbazon
Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
-
E.
Buais-les-Monts
Buais-les-Monts is a rural commune in the Manche department of northwestern France, known for its agricultural landscape and small-village character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efcc1308190a95d10e431295ca2 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:37 p.m.