Triple

T11728311
Position Surface form Disambiguated ID Type / Status
Subject Labrador English E278832 entity
Predicate spokenIn P2266 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: [Labrador English, spokenIn, Labrador City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labrador City
Context triple: [Labrador English, spokenIn, 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. Glace Bay
    Glace Bay is a former coal-mining town and fishing community located on the eastern coast of Cape Breton Island in Nova Scotia, Canada.
  • E. 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.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d80ef881908cab956787ab07fd completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f457f7be0081908f8e1760cc7b8294 completed May 1, 2026, 7:36 a.m.
Created at: April 8, 2026, 9:41 p.m.