Triple

T20926726
Position Surface form Disambiguated ID Type / Status
Subject LaSalle borough E515364 entity
Predicate borderedBy P224 FINISHED
Object Lachine borough 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 borough | Statement: [LaSalle borough, borderedBy, Lachine borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lachine borough
Context triple: [LaSalle borough, borderedBy, Lachine borough]
  • A. Lachine borough chosen
    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. Plateau-Mont-Royal borough
    Plateau-Mont-Royal borough is a densely populated, culturally vibrant district of Montreal known for its historic architecture, arts scene, and lively commercial streets.
  • C. Lachine waterfront
    The Lachine waterfront is a scenic shoreline area in Montreal known for its historic canal, recreational paths, and outdoor public art installations.
  • D. Jonquière borough
    Jonquière borough is an administrative district within the city of Saguenay in Quebec, Canada, known for its industrial heritage and residential communities.
  • E. Leslieville
    Leslieville is a trendy east-end Toronto neighborhood known for its historic homes, independent boutiques, and vibrant restaurant and café scene.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f65200b08190ac208204a20f5a6a completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.