Triple

T13272963
Position Surface form Disambiguated ID Type / Status
Subject Welcome Islands E316111 entity
Predicate locatedEastOf P4240 FINISHED
Object city of 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: city of Thunder Bay | Statement: [Welcome Islands, locatedEastOf, city of Thunder Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Thunder Bay
Context triple: [Welcome Islands, locatedEastOf, city of 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. Thunder Bay
    Thunder Bay is a bay on Lake Huron in Michigan known for its numerous shipwrecks and the Thunder Bay National Marine Sanctuary.
  • 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. Aurora, Ontario
    Aurora, Ontario is a suburban town in the Greater Toronto Area known for its residential communities, historic downtown, and role as a regional commercial and commuter hub.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904193bc8190af4155750bcf32f6 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f1c2bac81909ac13624f7972919 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:26 p.m.