Triple

T13189064
Position Surface form Disambiguated ID Type / Status
Subject Township of Neebing E313933 entity
Predicate hasNeighbouringCity P3883 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: [Township of Neebing, hasNeighbouringCity, Thunder Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thunder Bay
Context triple: [Township of Neebing, hasNeighbouringCity, 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. 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.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4d60688190b34e65bbb5d4c152 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a2e415481908ad1036376f702dc completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:15 p.m.