Triple

T6346813
Position Surface form Disambiguated ID Type / Status
Subject Wabush E142764 entity
Predicate locatedNear P294 FINISHED
Object Labrador City E52579 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: Labrador City | Statement: [Wabush, locatedNear, Labrador City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labrador City
Context triple: [Wabush, locatedNear, Labrador City]
  • A. Labrador City chosen
    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.
  • 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. Rouyn-Noranda
    Rouyn-Noranda is a city in western Quebec, Canada, known historically as a mining and industrial center in the Abitibi-Témiscamingue region.
  • D. 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.
  • E. Maniwaki
    Maniwaki is a small town in western Quebec, Canada, known as a regional service center in the Upper Gatineau Valley with strong Indigenous and logging heritage.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b907c4819085a3ea87589bc4be completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66376b63081909fefd93790fa4b55 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:31 p.m.