Triple
T18999182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendômois |
E464898
|
entity |
| Predicate | pluralForm |
P5088
|
FINISHED |
| Object | Vendômois |
—
|
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: Vendômois | Statement: [Vendômois, pluralForm, Vendômois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendômois Context triple: [Vendômois, pluralForm, Vendômois]
-
A.
Vendômois
chosen
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
B.
Perche Vendômois
Perche Vendômois is a rural historical and natural region in central France known for its rolling landscapes, small villages, and cultural heritage within the Loir-et-Cher department.
-
C.
Bourguignon-Morvandiau
Bourguignon-Morvandiau is a regional Romance dialect of eastern France, traditionally spoken in Burgundy and the Morvan area, and classified within the Oïl language family.
-
D.
Montévrain
Montévrain is a suburban commune in the eastern outskirts of Paris, France, known for its proximity to Disneyland Paris and its role in the Marne-la-Vallée new town development.
-
E.
Amiénois
Amiénois is a regional variety of the Picard language traditionally spoken in and around the city of Amiens in northern France.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d684d37c8190b975f04a47fa7b92 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.