Triple

T21979503
Position Surface form Disambiguated ID Type / Status
Subject Northwestern Pennsylvania E542798 entity
Predicate hasCity P316 FINISHED
Object Sharon, Pennsylvania 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: Sharon, Pennsylvania | Statement: [Northwestern Pennsylvania, hasCity, Sharon, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon, Pennsylvania
Context triple: [Northwestern Pennsylvania, hasCity, Sharon, Pennsylvania]
  • A. Sharon, Pennsylvania chosen
    Sharon, Pennsylvania is a small industrial city in Mercer County known historically for steel manufacturing and its location near the Ohio border in western Pennsylvania.
  • B. Sharon Hill, Pennsylvania
    Sharon Hill, Pennsylvania is a small suburban borough located just southwest of Philadelphia in Delaware County.
  • C. Shelocta, Pennsylvania
    Shelocta, Pennsylvania is a small borough in Indiana County known for its rural character within the Ligonier Valley region of western Pennsylvania.
  • D. Shirleysburg, Pennsylvania
    Shirleysburg, Pennsylvania is a small borough in central Pennsylvania known for its rural character and historic roots in the Juniata River valley.
  • E. Shillington, Pennsylvania
    Shillington, Pennsylvania is a small borough in Berks County that functions largely as a residential suburb of nearby Reading.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248bdd88819098bfeca550608f14 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.