Triple

T19617193
Position Surface form Disambiguated ID Type / Status
Subject KAVP E470893 entity
Predicate nearCity P350 FINISHED
Object Pittston 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: Pittston Township | Statement: [KAVP, nearCity, Pittston Township]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pittston Township
Context triple: [KAVP, nearCity, Pittston Township]
  • A. Pittston Township, Pennsylvania chosen
    Pittston Township, Pennsylvania is a municipality in Luzerne County best known for hosting the Wilkes-Barre/Scranton International Airport, a major air travel hub for the region.
  • B. Mahoning Township
    Mahoning Township is a small municipality located in Carbon County, Pennsylvania, known for its rural character and proximity to the Pocono Mountains region.
  • C. Mahoning Township
    Mahoning Township is a municipal township located in Lawrence County in western Pennsylvania, United States.
  • D. Peters Township
    Peters Township is a suburban municipality in Washington County, Pennsylvania, known for its residential communities and proximity to the Pittsburgh metropolitan area.
  • E. Millcreek Township
    Millcreek Township is a rural municipality located in Lebanon County, Pennsylvania, known for its agricultural landscape and small-community character.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e272808190800c5bccccd64753 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.