Triple

T928327
Position Surface form Disambiguated ID Type / Status
Subject St. George subway station E20035 entity
Predicate isKeyAccessPointFor P20129 FINISHED
Object University of Toronto students 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: University of Toronto students | Statement: [St. George subway station, isKeyAccessPointFor, University of Toronto students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isKeyAccessPointFor
Context triple: [St. George subway station, isKeyAccessPointFor, University of Toronto students]
  • A. isKeyRegionFor
    Indicates that one region plays a central or strategically important role in relation to a specified process, function, or larger area.
  • B. isReferencePointFor
    Indicates that one entity serves as a positional or conceptual basis used to locate, measure, or interpret another entity.
  • C. isKeyInterchangeFor chosen
    Indicates that one location or facility serves as a primary transfer point connecting major routes, lines, or modes of transport for another.
  • D. isKeyNodeIn
    Indicates that a node serves as a primary or critical element within a specified structure, system, or context.
  • E. hasKPoint
    Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34775ac8190aabbd047a36cec6b completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a4b29876348190a29f4ff9878074a5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.