Triple

T9008736
Position Surface form Disambiguated ID Type / Status
Subject Pitt Meadows E215411 entity
Predicate locatedNear P294 FINISHED
Object Golden Ears E748973 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: Golden Ears | Statement: [Pitt Meadows, locatedNear, Golden Ears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Golden Ears
Context triple: [Pitt Meadows, locatedNear, Golden Ears]
  • A. Golden Ears chosen
    Golden Ears is a prominent twin-peaked mountain in British Columbia, Canada, known for its rugged terrain, hiking trails, and scenic views within Golden Ears Provincial Park.
  • B. Caledon
    Caledon is a largely rural town in southern Ontario, Canada, known for its scenic landscapes and inclusion within the Greater Toronto Area.
  • C. North Bay
    North Bay is a small city in northeastern Ontario, Canada, located on the shore of Lake Nipissing and known as a regional transportation and service hub.
  • D. North Bay
    North Bay is a coastal inlet on Cape Cod in Massachusetts known for its sheltered waters and recreational boating.
  • E. North Bay
    North Bay is a scenic bay in Ontario, Canada, known for its picturesque shoreline and recreational waterfront along Lake Nipissing.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bed8588190afc9cbca12b75a3b completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ec84348190944a2310a6a60448 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:06 p.m.