Triple

T7554765
Position Surface form Disambiguated ID Type / Status
Subject Secane (part) E178633 entity
Predicate partOf P40 FINISHED
Object Secane, Pennsylvania E328687 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: Secane, Pennsylvania | Statement: [Secane (part), partOf, Secane, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Secane, Pennsylvania
Context triple: [Secane (part), partOf, Secane, Pennsylvania]
  • A. Secane, Pennsylvania chosen
    Secane, Pennsylvania is an unincorporated suburban community and census-designated place in the Philadelphia metropolitan area, located within Delaware County.
  • B. Youngwood, Pennsylvania
    Youngwood, Pennsylvania is a small borough in Westmoreland County known historically as a railroad town and situated in the Pittsburgh metropolitan area.
  • C. Westland, Pennsylvania
    Westland, Pennsylvania is a small unincorporated community in Washington County known historically for its coal mining and its location along Chartiers Creek.
  • D. Woodlyn, Pennsylvania
    Woodlyn, Pennsylvania is a residential community and census-designated place in southeastern Pennsylvania, situated within the suburban region southwest of Philadelphia.
  • E. Sayre, Pennsylvania
    Sayre, Pennsylvania is a small borough in Bradford County known historically as a major railroad town and repair hub in northeastern Pennsylvania.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b990148190b26a3a262cf538b3 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856be6e1c8190ba292d4d9cf1f37f completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:49 p.m.