Triple

T4797617
Position Surface form Disambiguated ID Type / Status
Subject Parsons E106749 entity
Predicate county P75 FINISHED
Object Luzerne County E110840 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: Luzerne County | Statement: [Parsons, county, Luzerne County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luzerne County
Context triple: [Parsons, county, Luzerne County]
  • A. Luzerne County chosen
    Luzerne County is a county in northeastern Pennsylvania known for its seat in Wilkes-Barre and its role in the historic anthracite coal mining region.
  • B. Susquehanna County
    Susquehanna County is a rural county in northeastern Pennsylvania known for its rolling hills, small towns, and proximity to the New York state border.
  • C. Lycoming County
    Lycoming County is a largely rural county in north-central Pennsylvania known for its county seat of Williamsport and its rich history tied to the lumber industry and outdoor recreation.
  • D. Schuylkill County, Pennsylvania
    Schuylkill County, Pennsylvania is a predominantly rural county in eastern Pennsylvania known historically for its anthracite coal mining and small industrial towns.
  • E. Cambria County
    Cambria County is a county in west-central Pennsylvania known historically for its coal mining and steel industries, with Johnstown as its largest city.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6632708c8190b627d99363ab062c completed March 20, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b89011a88190b498264ff99e7984 completed March 28, 2026, 11:16 a.m.
Created at: March 20, 2026, 1:22 p.m.