Triple

T8662038
Position Surface form Disambiguated ID Type / Status
Subject Whitewater Region E205570 entity
Predicate hasCommunity P2605 FINISHED
Object Ross Township E749024 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: Ross Township | Statement: [Whitewater Region, hasCommunity, Ross Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross Township
Context triple: [Whitewater Region, hasCommunity, Ross Township]
  • A. Ross Township chosen
    Ross Township was a former rural municipality in Renfrew County, Ontario, Canada, that later became part of the amalgamated township of Whitewater Region.
  • B. Ross Township
    Ross Township is a suburban municipality in Allegheny County, Pennsylvania, located just north of Pittsburgh and known for its residential neighborhoods and commercial corridors.
  • C. Taylor Township
    Taylor Township was the former municipal designation for the area that later became the city of Taylor, Michigan.
  • D. March Township
    March Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Kanata and subsequently amalgamated into the City of Ottawa.
  • E. Warren Township
    Warren Township is a rural civil township located within Poweshiek County in the U.S. state of Iowa.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4872a190819087d679f3006bd030 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf285de8c081908abca2189f206a40 completed April 3, 2026, 2:39 a.m.
Created at: March 30, 2026, 6:30 p.m.