Triple

T19519714
Position Surface form Disambiguated ID Type / Status
Subject Montreal police E488370 entity
Predicate fundedBy P67 FINISHED
Object City of Montreal 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: City of Montreal | Statement: [Montreal police, fundedBy, City of Montreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Montreal
Context triple: [Montreal police, fundedBy, 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. 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.
  • C. 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.
  • D. Terrebonnien
    Terrebonnien is the French demonym for a resident or native of Terrebonne, a city in the province of Quebec, Canada.
  • E. Ville-Marie, Quebec
    Ville-Marie, Quebec is a small historic town in the Témiscamingue region of western Quebec, known for its scenic setting on the shores of Lake Timiskaming and its role as one of the earliest European settlements in the area.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359feb808190ba94563831adc720 completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.