Triple

T5940942
Position Surface form Disambiguated ID Type / Status
Subject Rainy River District E132163 entity
Predicate administrativeCentre P1474 FINISHED
Object Fort Frances 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 | Statement: [Rainy River District, administrativeCentre, Fort Frances]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Frances
Context triple: [Rainy River District, administrativeCentre, Fort Frances]
  • 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. Thunder Bay
    Thunder Bay is a Canadian city in northwestern Ontario that serves as a key transportation, shipping, and commercial hub on the north shore of Lake Superior.
  • D. Petrolia
    Petrolia is a small, remote community in Northern California known as a gateway to the rugged, sparsely populated Lost Coast region.
  • E. 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.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038f101c081908fb530d2f1f358fc completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e399f2ec81908e2e38b9fbf8b56a completed March 27, 2026, 1:55 a.m.
Created at: March 22, 2026, 4:01 p.m.