Triple

T25967371
Position Surface form Disambiguated ID Type / Status
Subject Tanglewood E645707 entity
Predicate hasProvinceLevelGovernment P144783 FINISHED
Object Government of Ontario 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: Government of Ontario | Statement: [Tanglewood, hasProvinceLevelGovernment, Government of Ontario]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProvinceLevelGovernment
Context triple: [Tanglewood, hasProvinceLevelGovernment, Government of Ontario]
  • A. hasProvinceGovernment chosen
    Indicates that a province is administered or governed by a specific provincial government authority.
  • B. hasRegionalGovernmentAbove
    Indicates that one governmental unit is hierarchically subordinate to, and governed or overseen by, a higher-level regional government.
  • C. hasProvincialCouncil
    Indicates that an entity possesses or is governed by a provincial-level council as part of its administrative or organizational structure.
  • D. hasProvinceLevelUnit
    Indicates that one administrative or territorial entity possesses or contains a sub-unit at the province (or equivalent) level.
  • E. hasFormOfTerritorialOrganization
    Indicates that one entity possesses or is structured according to a particular type or form of territorial organization.
  • 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_69e77e85efc08190997da7fcf98bd300 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f78fd5a6388190bfda4bbb2e222e5b completed May 3, 2026, 6:11 p.m.
PD Predicate disambiguation batch_69f78e2ac3fc819081a45c6841375c8d completed May 3, 2026, 6:04 p.m.
Created at: April 22, 2026, 8:48 a.m.