Triple

T10813507
Position Surface form Disambiguated ID Type / Status
Subject Husky the Muskie E255162 entity
Predicate maintenanceBy P1580 FINISHED
Object City of Kenora E48321 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 Kenora | Statement: [Husky the Muskie, maintenanceBy, City of Kenora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kenora
Context triple: [Husky the Muskie, maintenanceBy, City of Kenora]
  • A. Kenora chosen
    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.
  • B. City of Timmins
    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.
  • C. 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.
  • 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. Kenora District
    Kenora District is a vast, sparsely populated administrative region in northwestern Ontario known for its forests, lakes, and remote communities.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eba9b48190b4dbe7fe5d8be0a4 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c0907c8190b092bb6754fe4e52 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:18 p.m.