Triple
T23013238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CART |
E572961
|
entity |
| Predicate | notableInternationalEvents |
P150669
|
FINISHED |
| Object | Montréal, Canada |
—
|
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: Montréal, Canada | Statement: [CART, notableInternationalEvents, Montréal, Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montréal, Canada Context triple: [CART, notableInternationalEvents, Montréal, Canada]
-
A.
Montreal, Quebec, Canada
chosen
Montreal, Quebec, Canada is a major French-speaking metropolis known for its vibrant arts scene, diverse culture, and historic architecture on the Saint Lawrence River.
-
B.
Montreal
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.
-
C.
Montreal
Montreal was a prominent Crusader-era fortress in the Lordship of Oultrejordain, strategically controlling key trade and pilgrimage routes east of the Jordan River.
-
D.
Montreal
"Montreal" is a song by the American metal band Ataxia.
-
E.
Québec-Montréal
Québec-Montréal is a Canadian film that follows a group of thirty-somethings on a road trip between Quebec City and Montreal as they confront their relationships, regrets, and life choices.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
Created at: April 17, 2026, 3:51 p.m.