Triple
T5125621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman Catholic Archdiocese of Gatineau |
E115575
|
entity |
| Predicate | hasSeeCity |
P13558
|
FINISHED |
| Object | Gatineau |
E39089
|
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: Gatineau | Statement: [Roman Catholic Archdiocese of Gatineau, hasSeeCity, Gatineau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gatineau Context triple: [Roman Catholic Archdiocese of Gatineau, hasSeeCity, Gatineau]
-
A.
Gatineau
chosen
Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
-
B.
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.
-
C.
Longueuil
Longueuil is a major suburb of Montreal and one of the largest cities on the south shore of the Saint Lawrence River in Quebec, Canada.
-
D.
Quebec City
Quebec City is the historic capital of the Canadian province of Quebec, renowned for its well-preserved fortified old town and rich French colonial heritage.
-
E.
Estrie
Estrie is an administrative region in southeastern Quebec, Canada, known for its rolling Appalachian landscapes, lakes, and bilingual (French-English) communities.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78072b8c81908b5ac3b231f04136 |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf28f6f5148190ac40ba3256f8264b |
completed | March 21, 2026, 11:25 p.m. |
Created at: March 20, 2026, 1:42 p.m.