Triple

T19230351
Position Surface form Disambiguated ID Type / Status
Subject Lachine Museum E480851 entity
Predicate category P87 FINISHED
Object Lachine, Quebec 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: Lachine, Quebec | Statement: [Lachine Museum, category, Lachine, Quebec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lachine, Quebec
Context triple: [Lachine Museum, category, Lachine, Quebec]
  • A. Lachine, Montreal, Quebec, Canada
    Lachine, Montreal, Quebec, Canada is a borough on the southwestern edge of Montreal known for its historic canal, waterfront parks, and residential neighborhoods.
  • B. Lachine chosen
    Lachine is a borough of Montreal, Quebec, known for its historic canal, waterfront, and role as an early fur trade and industrial hub.
  • C. Lachine borough
    Lachine borough is a historic riverside district of Montreal, Quebec, known for its role in the fur trade and its location along the Lachine Canal.
  • D. Lachine waterfront
    The Lachine waterfront is a scenic shoreline area in Montreal known for its historic canal, recreational paths, and outdoor public art installations.
  • E. Hudson, Quebec
    Hudson, Quebec is a small, affluent town west of Montreal known for its historic charm, English-speaking community, and scenic waterfront setting.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9ce5e081909df994841ce476d5 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.