Triple

T1345201
Position Surface form Disambiguated ID Type / Status
Subject Montreal Impact E28553 entity
Predicate usesMetricSystem P1872 FINISHED
Object true LITERAL 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: true | Statement: [Montreal Impact, usesMetricSystem, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesMetricSystem
Context triple: [Montreal Impact, usesMetricSystem, true]
  • A. usesMetric
    Indicates that one entity adopts, applies, or relies on a particular metric or measurement standard in its operation, evaluation, or description.
  • B. isMetric
    Indicates that something satisfies the properties required to be considered a metric, such as defining distances that obey non-negativity, identity, symmetry, and the triangle inequality.
  • C. usesMeasurementSystem chosen
    Indicates that one entity adopts or applies a particular system of measurement defined by another entity.
  • D. typeOfMeasure
    Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
  • E. unitOfMeasure
    Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
  • F. None of above.

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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23d696c8190bb688274280cb680 completed March 1, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69a4bef5857c81909ae984feb85a26ca completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.