Triple

T21292847
Position Surface form Disambiguated ID Type / Status
Subject Harmar Township E524839 entity
Predicate borders P224 FINISHED
Object O'Hara Township NE NERFINISHED

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: O'Hara Township | Statement: [Harmar Township, borders, O'Hara Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O'Hara Township
Context triple: [Harmar Township, borders, O'Hara Township]
  • A. O'Hara Township chosen
    O'Hara Township is a suburban municipality in Allegheny County, Pennsylvania, located northeast of Pittsburgh along the Allegheny River.
  • B. Bowne Township
    Bowne Township is a civil township located in Kent County in the U.S. state of Michigan.
  • C. Huntley Township
    Huntley Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Ottawa.
  • D. Hilliard Township
    Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • E. Laird Township
    Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.