Triple

T11453316
Position Surface form Disambiguated ID Type / Status
Subject Eastern Ohio E271457 entity
Predicate contains P35 FINISHED
Object Martins Ferry E692452 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: Martins Ferry | Statement: [Eastern Ohio, contains, Martins Ferry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martins Ferry
Context triple: [Eastern Ohio, contains, Martins Ferry]
  • A. Martins Ferry chosen
    Martins Ferry is a small city in eastern Ohio along the Ohio River, known as one of the state's oldest settlements and a historic industrial community.
  • B. Nelsonville
    Nelsonville is a small unincorporated community located in Marion County, Missouri, in the United States.
  • C. Bridgeport, Ohio
    Bridgeport, Ohio is a small village in eastern Ohio along the Ohio River, forming part of the Wheeling, West Virginia metropolitan area.
  • D. Hudson, Ohio
    Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
  • E. Harrisburg, Ohio
    Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c7057688190ad8aa99426e4ca30 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac420788190b12167aef7436c64 completed May 3, 2026, 5:49 p.m.
Created at: April 8, 2026, 9:35 p.m.