Triple

T19230509
Position Surface form Disambiguated ID Type / Status
Subject Lachine public art route E480858 entity
Predicate operator P179 FINISHED
Object Borough of Lachine 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: Borough of Lachine | Statement: [Lachine public art route, operator, Borough of Lachine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borough of Lachine
Context triple: [Lachine public art route, operator, Borough of Lachine]
  • A. 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.
  • B. Lachine waterfront
    The Lachine waterfront is a scenic shoreline area in Montreal known for its historic canal, recreational paths, and outdoor public art installations.
  • C. Les Rivières borough
    Les Rivières borough is an administrative district of Quebec City, Canada, characterized by a mix of residential, commercial, and industrial areas.
  • D. Rivière des Prairies
    Rivière des Prairies is a channel of the Saint Lawrence River that separates the Island of Montreal from Île Jésus in southwestern Quebec, Canada.
  • E. 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.
  • 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.