Triple
T940089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Island of Montreal |
E20285
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | City of Montreal |
E2604
|
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: City of Montreal | Statement: [Island of Montreal, contains, City of Montreal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Montreal Context triple: [Island of Montreal, contains, City of Montreal]
-
A.
Montreal
chosen
Montreal is the largest city in Quebec, Canada, known for its vibrant bilingual culture, historic architecture, and status as a major economic and cultural center.
-
B.
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.
-
C.
Gatineau
Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
-
D.
Westmount, Quebec, Canada
Westmount, Quebec, Canada is an affluent, predominantly English-speaking suburb on the Island of Montreal known for its historic architecture and cultural prominence.
-
E.
downtown core of Montreal
The downtown core of Montreal is the city’s central business district and cultural hub, known for its dense concentration of offices, universities, shopping streets, and entertainment venues.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38b7da08190ac0853655dab678a |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf0949c481908868bd27eeb964b4 |
completed | March 8, 2026, 12:12 a.m. |
Created at: March 1, 2026, 7:40 p.m.