Triple

T6858175
Position Surface form Disambiguated ID Type / Status
Subject Eglinton East E158202 entity
Predicate municipalGovernmentType P10835 FINISHED
Object single-tier municipality 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: single-tier municipality | Statement: [Eglinton East, municipalGovernmentType, single-tier municipality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: municipalGovernmentType
Context triple: [Eglinton East, municipalGovernmentType, single-tier municipality]
  • A. localGovernmentAreaType
    Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
  • B. cityGovernment
    Indicates that a city’s governing authority has jurisdiction, control, or administrative responsibility over the referenced entity.
  • C. municipality
    Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
  • D. isMunicipal
    Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
  • E. hasMunicipalityType chosen
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6da3ce95081909a424ac04bc7fa07 completed March 27, 2026, 7:27 p.m.
PD Predicate disambiguation batch_69c6d7b168908190b2f7c724b1bc7fc9 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:21 p.m.