Triple
T5808986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Diocese of Baie-Comeau |
E128818
|
entity |
| Predicate | episcopalSee |
P2276
|
FINISHED |
| Object | Baie-Comeau |
E187272
|
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: Baie-Comeau | Statement: [Roman Catholic Diocese of Baie-Comeau, episcopalSee, Baie-Comeau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baie-Comeau Context triple: [Roman Catholic Diocese of Baie-Comeau, episcopalSee, Baie-Comeau]
-
A.
Baie-Comeau, Quebec, Canada
chosen
Baie-Comeau, Quebec, Canada is a small industrial city on the north shore of the Saint Lawrence River known for its pulp and paper industry and as the hometown of former Canadian prime minister Brian Mulroney.
-
B.
Boisbriand
Boisbriand is a suburban city in southwestern Quebec, Canada, located northwest of Montreal along the Rivière des Mille Îles.
-
C.
Trois-Rivières
Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
-
D.
Lévis
Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from Quebec City.
-
E.
Bourget
Bourget is a small rural community in eastern Ontario, Canada, known for its francophone population and proximity to the Larose Forest.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfb903788190bae497fe72bd1e78 |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:52 p.m.