Triple

T13039561
Position Surface form Disambiguated ID Type / Status
Subject Flatland Island E327154 entity
Predicate locatedIn P40 FINISHED
Object Thunder Bay E15925 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: Thunder Bay | Statement: [Flatland Island, locatedIn, Thunder Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Bay
Context triple: [Flatland Island, locatedIn, Thunder Bay]
  • A. Thunder Bay chosen
    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.
  • 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. Owen Sound
    Owen Sound is a small port city on Georgian Bay in southwestern Ontario, Canada, known for its waterfront, regional services, and surrounding natural attractions.
  • 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. Sarnia
    Sarnia is an industrial city in southwestern Ontario, Canada, located on the shores of Lake Huron near the U.S. border, known for its petrochemical industry and busy port.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd2f6a481909fdd418e7ad3cc22 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.