Triple

T14972504
Position Surface form Disambiguated ID Type / Status
Subject Rainy Lake E373356 entity
Predicate borderSettlement P46520 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 Lake, borderSettlement, Fort Frances, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Frances, Ontario
Context triple: [Rainy Lake, borderSettlement, 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc4715c81908b4745996d660f7c completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:50 a.m.