Triple

T21113549
Position Surface form Disambiguated ID Type / Status
Subject Scranton E520232 entity
Predicate isCountySeatOf P383 FINISHED
Object Lackawanna 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: Lackawanna County | Statement: [Scranton, isCountySeatOf, Lackawanna County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lackawanna County
Context triple: [Scranton, isCountySeatOf, Lackawanna County]
  • A. Lackawanna County chosen
    Lackawanna County is a county in northeastern Pennsylvania that includes the city of Scranton as its largest municipality and county seat.
  • B. 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.
  • C. Allegheny County
    Allegheny County is a populous county in western Pennsylvania that includes the city of Pittsburgh as its seat and economic center.
  • D. 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.
  • E. 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.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72103b3888190a19e9a40f01fb439 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.