Triple

T11887316
Position Surface form Disambiguated ID Type / Status
Subject Rainy River E282819 entity
Predicate passesNear P416 FINISHED
Object Fort Frances, Ontario E129725 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: Fort Frances, Ontario | Statement: [Rainy River, passesNear, Fort Frances, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Frances, Ontario
Context triple: [Rainy River, passesNear, Fort Frances, Ontario]
  • A. Fort Frances chosen
    Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
  • B. Kenora
    Kenora is a small city in northwestern Ontario, Canada, located on the shores of Lake of the Woods and known as a popular cottage and outdoor recreation destination.
  • C. Sturgeon Falls
    Sturgeon Falls is a small community in Ontario, Canada, known for its location along the Sturgeon River and proximity to Lake Nipissing.
  • D. 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.
  • E. Iroquois Falls, Ontario
    Iroquois Falls, Ontario is a small northern Ontario town historically centered around the pulp and paper industry, located along the Abitibi River in Cochrane District.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a13370819086386fecb99e4f0b completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43fd661f481909b1f7609540e42d7 completed May 1, 2026, 5:53 a.m.
Created at: April 8, 2026, 9:44 p.m.