Triple

T22923442
Position Surface form Disambiguated ID Type / Status
Subject Mon Valley E569226 entity
Predicate contains P35 FINISHED
Object Rankin, 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: Rankin, Pennsylvania | Statement: [Mon Valley, contains, Rankin, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rankin, Pennsylvania
Context triple: [Mon Valley, contains, Rankin, Pennsylvania]
  • A. Rankin, Pennsylvania chosen
    Rankin, Pennsylvania is a small borough in Allegheny County near Pittsburgh, historically tied to the Monongahela River steel industry and neighboring mill towns.
  • B. Richland, Pennsylvania
    Richland, Pennsylvania is a small borough in Lebanon County known for its residential character within the broader south-central Pennsylvania region.
  • C. Stillwater, Pennsylvania
    Stillwater, Pennsylvania is a small rural community in Columbia County known for its quiet, small-town character.
  • D. Rutledge, Pennsylvania
    Rutledge, Pennsylvania is a small residential borough in Delaware County known for its quiet, tree-lined streets and proximity to nearby Swarthmore and Philadelphia.
  • 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_69e2458f7d008190901dccbaebeaba24 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180d7973c8190b09a5690fd1d3f28 completed April 29, 2026, 3:53 a.m.
Created at: April 17, 2026, 3:43 p.m.