Triple

T2448878
Position Surface form Disambiguated ID Type / Status
Subject Old Toronto E53654 entity
Predicate formerMunicipalityStatus P14579 FINISHED
Object city 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: city | Statement: [Old Toronto, formerMunicipalityStatus, city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerMunicipalityStatus
Context triple: [Old Toronto, formerMunicipalityStatus, city]
  • A. formerMunicipalityOf
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • B. formerAdministrativeStatus chosen
    Indicates that an entity previously held, but no longer holds, a particular administrative status or role.
  • C. hasMunicipalStatusChange
    Indicates that an entity undergoes a change in its official municipal status (e.g., creation, upgrade, downgrade, merger, or dissolution as a municipality).
  • D. formerState
    Indicates that an entity previously held the status or condition of a particular state but no longer does so.
  • E. dissolvedOrAbolished
    Indicates that an organization, institution, or formal entity has been officially terminated, disbanded, or ceased to exist.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd2bc7b5481908b3664495e99f1a4 completed March 7, 2026, 7:24 a.m.
PD Predicate disambiguation batch_69abd0aed2688190a18fe66b98d80e0b completed March 7, 2026, 7:15 a.m.
Created at: March 6, 2026, 9:43 p.m.