Triple
T18858652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cholet |
E461246
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Choletais |
—
|
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: Choletais | Statement: [Cholet, hasDemonym, Choletais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choletais Context triple: [Cholet, hasDemonym, Choletais]
-
A.
Cholet
chosen
Cholet is a town in western France’s Maine-et-Loire department, known historically for its textile industry and as part of the Pays de la Loire region.
-
B.
Tournan
Tournan is a suburban town in the Île-de-France region of France that serves as an outer terminus for Paris’s RER commuter rail network.
-
C.
Charigot
Charigot is the surname of Aline Charigot, a French woman best known as the model, companion, and later wife of the painter Pierre-Auguste Renoir.
-
D.
La Châtre
La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
-
E.
Montgeroult
Montgeroult is a small commune in the Val-d'Oise department in northern France, known for its rural character and historic village setting.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05eaee881909da704cf1374158c |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.