Triple
T5968760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Nicolet |
E132817
|
entity |
| Predicate | episcopalSee |
P2276
|
FINISHED |
| Object |
Nicolet
Nicolet is a city in Quebec, Canada, known as a regional center along the Nicolet River and the seat of a Roman Catholic diocese.
|
E558649
|
NE FINISHED |
How this triple was built (4 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: [Roman Catholic Diocese of Nicolet, episcopalSee, Nicolet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolet Context triple: [Roman Catholic Diocese of Nicolet, episcopalSee, Nicolet]
-
A.
Oneida
Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
-
B.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
C.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
-
D.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
E.
Estaing
Estaing is a historic village in the Aveyron department of southern France, known for its medieval architecture and picturesque setting along the Lot River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nicolet Triple: [Roman Catholic Diocese of Nicolet, episcopalSee, Nicolet]
Generated description
Nicolet is a city in Quebec, Canada, known as a regional center along the Nicolet River and the seat of a Roman Catholic diocese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicolet Target entity description: Nicolet is a city in Quebec, Canada, known as a regional center along the Nicolet River and the seat of a Roman Catholic diocese.
-
A.
Oneida
Oneida is an experimental rock band from Brooklyn, New York, known for its long-form, improvisational, and genre-blending psychedelic sound.
-
B.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
C.
Taconnaz
Taconnaz is a locality in the Chamonix valley of the French Alps, known for giving its name to the nearby Glacier de Taconnaz.
-
D.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
E.
Estaing
Estaing is a historic village in the Aveyron department of southern France, known for its medieval architecture and picturesque setting along the Lot River.
- F. None of above. chosen
Provenance (5 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a40cfe08190a40de42831af7cf8 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40506848190843971e772d56054 |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0edb0a0808190b2b6f5fc0d7b7913 |
completed | March 23, 2026, 7:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0ee2ffbc88190a256b5cb8a98f382 |
completed | March 23, 2026, 7:39 a.m. |
Created at: March 22, 2026, 4:03 p.m.