Triple

T946803
Position Surface form Disambiguated ID Type / Status
Subject Beaver County E20430 entity
Predicate hasCity P316 FINISHED
Object Aliquippa E159340 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: Aliquippa | Statement: [Beaver County, hasCity, Aliquippa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aliquippa
Context triple: [Beaver County, hasCity, Aliquippa]
  • A. Aliquippa chosen
    Aliquippa is a small industrial city in western Pennsylvania known historically for its steel production and location along the Ohio River.
  • B. McKeesport
    McKeesport is a city in southwestern Pennsylvania located near the confluence of the Monongahela and Youghiogheny Rivers, historically known for its steel industry.
  • C. Bethel Park
    Bethel Park is a suburban municipality in southwestern Pennsylvania, located just south of Pittsburgh.
  • D. Upper St. Clair
    Upper St. Clair is a suburban township in southwestern Pennsylvania known for its affluent residential character and highly ranked public school system.
  • E. Chartiers, Pennsylvania
    Chartiers, Pennsylvania is a community in the Pittsburgh area best known as the birthplace of Baseball Hall of Famer Honus Wagner.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3bcad2481908b83575b2fb80d14 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace540122c8190824f6de78dc1a411 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:40 p.m.