Triple

T9994409
Position Surface form Disambiguated ID Type / Status
Subject Schumacher E196966 entity
Predicate partOf P40 FINISHED
Object City of Timmins E833677 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: City of Timmins | Statement: [Schumacher, partOf, City of Timmins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Timmins
Context triple: [Schumacher, partOf, City of Timmins]
  • A. City of Timmins chosen
    The City of Timmins is a mining-centered city in northeastern Ontario, Canada, known for its gold production history and role as a regional service hub.
  • B. Fort Frances
    Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
  • C. 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.
  • D. Labrador City
    Labrador City is a mining-based town in western Labrador, Newfoundland and Labrador, Canada, known for its large iron ore operations and remote northern setting.
  • E. North Bay–Timmins
    North Bay–Timmins is an intercity bus route in northeastern Ontario connecting the city of North Bay with Timmins.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb982d5c81909779c6e9d780b399 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b5e243548190b77328b5ce9e8028 completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:50 p.m.