Triple

T20629871
Position Surface form Disambiguated ID Type / Status
Subject GE P42DC E506923 entity
Predicate buildLocation P14455 FINISHED
Object Erie, 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: Erie, Pennsylvania | Statement: [GE P42DC, buildLocation, Erie, Pennsylvania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erie, Pennsylvania
Context triple: [GE P42DC, buildLocation, Erie, Pennsylvania]
  • A. Erie, Pennsylvania chosen
    Erie, Pennsylvania is a mid-sized industrial and port city in northwestern Pennsylvania on the shores of Lake Erie, known for its manufacturing history and lakefront tourism.
  • B. ERIE
    ERIE is the station code for Erie station on Philadelphia’s Broad Street Line subway system.
  • C. Johnstown, Pennsylvania
    Johnstown, Pennsylvania is a small city in western Pennsylvania best known for its history of devastating floods, particularly the Great Johnstown Flood of 1889.
  • D. Rochester, Pennsylvania
    Rochester, Pennsylvania is a small borough in Beaver County located at the confluence of the Beaver and Ohio Rivers in western Pennsylvania.
  • E. Greensburg, Pennsylvania
    Greensburg, Pennsylvania is a small city in southwestern Pennsylvania known as a regional center for education, culture, and commerce within 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad09c71881909698d3c2576cc181 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.