Triple

T6813837
Position Surface form Disambiguated ID Type / Status
Subject Lake Kagawong E156702 entity
Predicate locatedIn P40 FINISHED
Object Township of Billings E541733 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: Township of Billings | Statement: [Lake Kagawong, locatedIn, Township of Billings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Township of Billings
Context triple: [Lake Kagawong, locatedIn, Township of Billings]
  • A. Billings Township chosen
    Billings Township is a small rural municipality located on Manitoulin Island in Ontario, Canada.
  • B. Township of Mountain
    The Township of Mountain was a former rural municipality in eastern Ontario, Canada, that later became part of the Township of North Dundas through amalgamation.
  • C. Township of King
    Township of King is a largely rural municipality in south-central Ontario, Canada, known for its rolling countryside, equestrian farms, and small historic communities.
  • D. Dymond Township
    Dymond Township was a former municipality in northeastern Ontario, Canada, that later became part of the city of Temiskaming Shores.
  • E. Plains Township
    Plains Township is a municipality in northeastern Pennsylvania known for its residential communities, local businesses, and proximity to the city of Wilkes-Barre.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32b012481909b73784899ec2a0d completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723da8fe08190b507e569a2511f5a completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.