Triple

T940136
Position Surface form Disambiguated ID Type / Status
Subject Island of Montreal E20285 entity
Predicate alsoKnownAs P39 FINISHED
Object Île de Montréal E20285 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: Île de Montréal | Statement: [Island of Montreal, alsoKnownAs, Île de Montréal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Île de Montréal
Context triple: [Island of Montreal, alsoKnownAs, Île de Montréal]
  • A. Island of Montreal chosen
    The Island of Montreal is a large, densely populated island in southwestern Quebec that hosts the city of Montreal and several surrounding municipalities in the Saint Lawrence River.
  • 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. Valcartier, Quebec
    Valcartier, Quebec is a Canadian military community near Quebec City best known for its large training base and historic role as a mobilization camp during World War I.
  • E. Port of Montreal
    The Port of Montreal is a major international shipping hub on the St. Lawrence River that serves as one of Canada’s busiest gateways for container and bulk cargo trade.
  • 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_69ac119a80e08190b0179f8d413e06fd completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:40 p.m.