Triple

T16230760
Position Surface form Disambiguated ID Type / Status
Subject Carbon County E393972 entity
Predicate borders P224 FINISHED
Object Schuylkill County 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: Schuylkill County | Statement: [Carbon County, borders, Schuylkill County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schuylkill County
Context triple: [Carbon County, borders, Schuylkill County]
  • A. Schuylkill County, Pennsylvania chosen
    Schuylkill County, Pennsylvania is a predominantly rural county in eastern Pennsylvania known historically for its anthracite coal mining and small industrial towns.
  • 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. 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.
  • D. Luzerne County
    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.
  • E. Franklin County, Pennsylvania
    Franklin County, Pennsylvania is a largely rural county in south-central Pennsylvania known for its agricultural landscape, historic towns, and role in Civil War-era events.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29438c81909aa2724cc47bb959 completed April 17, 2026, 2:01 p.m.
Created at: April 10, 2026, 5:03 a.m.