Triple

T20389105
Position Surface form Disambiguated ID Type / Status
Subject Edinboro University of Pennsylvania E498036 entity
Predicate hasCity P316 FINISHED
Object Edinboro 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: Edinboro | Statement: [Edinboro University of Pennsylvania, hasCity, Edinboro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edinboro
Context triple: [Edinboro University of Pennsylvania, hasCity, Edinboro]
  • A. Edinboro, Pennsylvania chosen
    Edinboro, Pennsylvania is a small borough best known as the home of PennWest Edinboro (formerly Edinboro University) and its surrounding lake-centered community in northwestern Pennsylvania.
  • B. Wellsboro
    Wellsboro is a small historic borough in north-central Pennsylvania known for its charming gas-lit streets and proximity to the Pennsylvania Grand Canyon.
  • C. Meadville
    Meadville is a small city in northwestern Pennsylvania known historically as an early center of industry and home to Allegheny College.
  • D. Diggstown
    Diggstown is a 1992 sports comedy-drama film centered on a high-stakes boxing con set in a small Southern town.
  • E. Brownsville, Pennsylvania
    Brownsville, Pennsylvania is a historic borough along the Monongahela River known for its early role in American westward expansion and riverboat commerce.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.