Triple

T21292850
Position Surface form Disambiguated ID Type / Status
Subject Harmar Township E524839 entity
Predicate borders P224 FINISHED
Object Plum, 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: Plum, Pennsylvania | Statement: [Harmar Township, borders, Plum, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plum, Pennsylvania
Context triple: [Harmar Township, borders, Plum, Pennsylvania]
  • A. Plum, Pennsylvania chosen
    Plum, Pennsylvania is a suburban borough in Allegheny County near Pittsburgh, known for its residential communities and mix of rural and developed areas.
  • B. Plumville, Pennsylvania
    Plumville, Pennsylvania is a small borough in Indiana County, Pennsylvania, situated within the rural Ligonier Valley region.
  • C. Pulaski, Pennsylvania
    Pulaski, Pennsylvania is a small unincorporated community in Lawrence County known for its rural character within western Pennsylvania.
  • D. Plymouth, Pennsylvania
    Plymouth, Pennsylvania is a small borough in Luzerne County’s Wyoming Valley, historically known as a coal mining community along the Susquehanna River.
  • E. Delmont, Pennsylvania
    Delmont, Pennsylvania is a small borough in Westmoreland County known as a historic crossroads community in the Pittsburgh metropolitan area.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.