Triple

T19242102
Position Surface form Disambiguated ID Type / Status
Subject Pittston E481156 entity
Predicate hasNearbyCommunity P4647 FINISHED
Object Jenkins 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: Jenkins Township | Statement: [Pittston, hasNearbyCommunity, Jenkins Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenkins Township
Context triple: [Pittston, hasNearbyCommunity, Jenkins Township]
  • A. Jenkins Township chosen
    Jenkins Township is a small municipality in northeastern Pennsylvania, United States, situated within the Wyoming Valley near the city of Wilkes-Barre.
  • B. Wilkins Township
    Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
  • C. James Township
    James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
  • D. Landis Township
    Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faf2353c819094a9a1af3a858715 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:27 p.m.