Triple

T5711204
Position Surface form Disambiguated ID Type / Status
Subject Point Grey campus E125913 entity
Predicate locatedIn P40 FINISHED
Object Vancouver E9370 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: Vancouver | Statement: [Point Grey campus, locatedIn, Vancouver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vancouver
Context triple: [Point Grey campus, locatedIn, Vancouver]
  • A. Vancouver chosen
    Vancouver is a major coastal city in western Canada known for its scenic natural surroundings, multicultural population, and role as a hub for film, technology, and tourism.
  • B. Victoria, British Columbia
    Victoria, British Columbia is the capital city of the Canadian province of British Columbia, known for its historic architecture, coastal scenery, and mild climate on the southern tip of Vancouver Island.
  • C. Kamloops
    Kamloops is a city in south-central British Columbia, Canada, known as a regional hub at the junction of the North and South Thompson Rivers.
  • D. Kelowna
    Kelowna is a mid-sized city in the Okanagan Valley of south-central British Columbia, Canada, known for its wineries, orchards, and lakeside recreation on Okanagan Lake.
  • E. Richmond, British Columbia
    Richmond, British Columbia is a coastal city in Metro Vancouver known for its diverse population, extensive Asian cultural influence, and role as home to Vancouver International Airport.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248df1a8819091e9f3c80dba3f54 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0ade6648190b29c64f83ceed326 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:46 p.m.