Triple
T23433884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre-du-Québec |
E563404
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Nicolet |
—
|
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: Nicolet | Statement: [Centre-du-Québec, hasMajorCity, Nicolet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolet Context triple: [Centre-du-Québec, hasMajorCity, Nicolet]
-
A.
Nicolet
chosen
Nicolet is a city in Quebec, Canada, known as a regional center along the Nicolet River and the seat of a Roman Catholic diocese.
-
B.
Nicolet
Nicolet is a surname most notably associated with American actress Danielle Nicolet, known for her roles in television and film.
-
C.
Labriola
Labriola is an Italian surname borne by several notable figures, including philosophers, politicians, and writers.
-
D.
Oneida
Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
-
E.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d9f0d48190903f43d044bcf2dd |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.