Triple

T1071354
Position Surface form Disambiguated ID Type / Status
Subject Rouge National Urban Park E23335 entity
Predicate locatedIn P40 FINISHED
Object Pickering E99468 NE 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: Pickering | Statement: [Rouge National Urban Park, locatedIn, Pickering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pickering
Context triple: [Rouge National Urban Park, locatedIn, Pickering]
  • A. Pickering chosen
    Pickering is a suburban city in Southern Ontario, Canada, located just east of Toronto along Lake Ontario.
  • B. Williamtown
    Williamtown is a locality in New South Wales, Australia, best known for hosting Newcastle Airport and the RAAF Base Williamtown military air base.
  • C. Kirkwode
    Kirkwode is an alternative spelling of the name Kirkwood, which is used for various places and surnames of primarily Scottish and English origin.
  • D. Parkes
    Parkes is a regional town in central New South Wales, Australia, best known for its nearby radio telescope and annual Elvis Presley Festival.
  • E. Heathcote
    Heathcote is an unincorporated community located within South Brunswick Township in Middlesex County, New Jersey.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92848148190ba8795cb8d0a1d0a completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c1fb7948190b08c95e68d3de00e completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.