Triple

T12078403
Position Surface form Disambiguated ID Type / Status
Subject Zanesville campus E287611 entity
Predicate regionServed P82 FINISHED
Object Zanesville, Ohio area E763688 NE FINISHED

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: Zanesville, Ohio area | Statement: [Zanesville campus, regionServed, Zanesville, Ohio area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zanesville, Ohio area
Context triple: [Zanesville campus, regionServed, Zanesville, Ohio area]
  • A. Zanesville, Ohio chosen
    Zanesville, Ohio is a small city in east-central Ohio known for its historic Y-Bridge and role as a regional center for industry and transportation.
  • B. St. Clairsville, Ohio
    St. Clairsville, Ohio is a small city in eastern Ohio that serves as an administrative and commercial hub for the surrounding Belmont County region.
  • C. Painesville, Ohio
    Painesville, Ohio is a small city in Lake County that serves as a suburban community within the Greater Cleveland metropolitan area.
  • D. Zanesfield, Ohio
    Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
  • E. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045e81f88190be2b1aabd93f077c completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e41191c81909284248d1b873b11 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:48 p.m.