Triple

T11590040
Position Surface form Disambiguated ID Type / Status
Subject Expo 86 E274856 entity
Predicate hostCity P1798 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: [Expo 86, hostCity, Vancouver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vancouver
Context triple: [Expo 86, hostCity, 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d894643ae48190837502b713f5b9c6 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08f409d348190ba97ed5cf34d755a completed April 28, 2026, 10:43 a.m.
Created at: April 8, 2026, 9:38 p.m.