Triple

T19310127
Position Surface form Disambiguated ID Type / Status
Subject Kingston, Pennsylvania E482941 entity
Predicate hasBorderWith P224 FINISHED
Object Pringle, 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: Pringle, Pennsylvania | Statement: [Kingston, Pennsylvania, hasBorderWith, Pringle, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pringle, Pennsylvania
Context triple: [Kingston, Pennsylvania, hasBorderWith, Pringle, Pennsylvania]
  • A. Pringle, Pennsylvania chosen
    Pringle, Pennsylvania is a small borough in Luzerne County that forms part of the suburban communities in the Wyoming Valley region.
  • B. Macungie, Pennsylvania
    Macungie, Pennsylvania is a small borough in the Lehigh Valley region known for its historic character and community events.
  • C. Stillwater, Pennsylvania
    Stillwater, Pennsylvania is a small rural community in Columbia County known for its quiet, small-town character.
  • D. Pen Argyl, Pennsylvania
    Pen Argyl, Pennsylvania is a small borough in the Lehigh Valley region known historically for its slate quarrying industry and close-knit community.
  • E. Vandergrift, Pennsylvania
    Vandergrift, Pennsylvania is a small borough in Westmoreland County known historically as a planned steel town along the Kiskiminetas River.
  • 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604cc62e08190b5ba5dfc44efdc5c completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:32 p.m.