Triple
T6743682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuville-sur-Vannes |
E154152
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Neuvilloises |
E614848
|
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: Neuvilloises | Statement: [Neuville-sur-Vannes, hasDemonym, Neuvilloises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neuvilloises Context triple: [Neuville-sur-Vannes, hasDemonym, Neuvilloises]
-
A.
Brionnais
Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
-
B.
Neuvillois
chosen
Neuvillois is the French demonym for inhabitants of the commune of Neuville-sur-Vannes in the Aube department of north-central France.
-
C.
Beurnevésin
Beurnevésin is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
-
D.
Auberjonois
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
E.
Roisséens
Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b3b1448190a94b4b64f01af14a |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a4de8c819090bdc94529f4f9d8 |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:10 p.m.