Triple

T38188643
Position Surface form Disambiguated ID Type / Status
Subject Toronto–Ottawa E1005389 entity
Predicate provinceLevelJurisdiction P149899 FINISHED
Object Province 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: Province of Ontario | Statement: [Toronto–Ottawa, provinceLevelJurisdiction, Province of Ontario]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: provinceLevelJurisdiction
Context triple: [Toronto–Ottawa, provinceLevelJurisdiction, Province of Ontario]
  • A. provincialLevelJurisdiction chosen
    Indicates that an entity has legal or administrative authority at the provincial (subnational) level within a country.
  • B. jurisdictionLevel
    Indicates the scope or tier of authority under which an entity or action is legally governed or regulated.
  • C. isRegionalJurisdictionOf
    Indicates that one entity functions as the governing or administrative authority over a specific geographic region or area.
  • D. governmentJurisdiction
    Indicates the governmental body or authority that has legal power, control, or regulatory oversight over a given entity or activity.
  • E. territorialJurisdictionOf
    Indicates that one entity has legal or administrative authority over a specific geographic area or territory associated with another entity.
  • 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_69f76dbc22c481908139b694ffde7a0c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69feff70fbec8190b1ff5f943f29613e completed May 9, 2026, 9:33 a.m.
PD Predicate disambiguation batch_69fefbcd5b7881909cfe52b32f8a4301 completed May 9, 2026, 9:18 a.m.
Created at: May 3, 2026, 4:29 p.m.