Triple

T8199255
Position Surface form Disambiguated ID Type / Status
Subject Université de Hearst E191525 entity
Predicate locatedIn P40 FINISHED
Object Hearst, Ontario E518219 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: Hearst, Ontario | Statement: [Université de Hearst, locatedIn, Hearst, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hearst, Ontario
Context triple: [Université de Hearst, locatedIn, Hearst, Ontario]
  • A. Hearst, Ontario chosen
    Hearst, Ontario is a small bilingual (French-English) town in northern Ontario known for its forestry-based economy and strong Franco-Ontarian culture.
  • B. Hawkesbury, Ontario
    Hawkesbury, Ontario is a small bilingual town on the Ottawa River known for its manufacturing history and position between Ottawa and Montreal.
  • C. Galt, Ontario
    Galt, Ontario was a historic town in southern Ontario that later became one of the constituent communities of the city of Cambridge.
  • D. Hickson, Ontario
    Hickson, Ontario is a small rural community located within Oxford County in southwestern Ontario, Canada.
  • E. Norval, Ontario
    Norval, Ontario is a small historic village in Halton Hills known for its scenic setting along the Credit River and its association with artist Lucy Maud Montgomery.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df426cc81908b676d3d6852e29f completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd67d0460c8190b0696b63edc3a048 completed April 1, 2026, 6:45 p.m.
Created at: March 30, 2026, 5:42 p.m.