Triple

T1215749
Position Surface form Disambiguated ID Type / Status
Subject Western University E26102 entity
Predicate locatedIn P40 FINISHED
Object London, Ontario E24077 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: London, Ontario | Statement: [Western University, locatedIn, London, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, Ontario
Context triple: [Western University, locatedIn, London, Ontario]
  • A. London, Ontario chosen
    London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
  • B. Windsor, Ontario
    Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
  • C. Brantford
    Brantford is a city in southwestern Ontario, Canada, known as the hometown of hockey legend Wayne Gretzky and for its historic role in the development of telephone technology.
  • D. Guelph
    Guelph is a mid-sized Canadian city known for its strong manufacturing base, historic architecture, and the University of Guelph.
  • E. Sarnia
    Sarnia is an industrial city in southwestern Ontario, Canada, located on the shores of Lake Huron near the U.S. border, known for its petrochemical industry and busy port.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be059c5c8190a200f09442c22334 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb8231ec81909d539f9bc2219619 completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:46 p.m.