Triple

T20404111
Position Surface form Disambiguated ID Type / Status
Subject Chester, West Virginia E500416 entity
Predicate locatedNear P294 FINISHED
Object East Liverpool, Ohio 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: East Liverpool, Ohio | Statement: [Chester, West Virginia, locatedNear, East Liverpool, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East Liverpool, Ohio
Context triple: [Chester, West Virginia, locatedNear, East Liverpool, Ohio]
  • A. East Liverpool, Ohio chosen
    East Liverpool, Ohio is a small city along the Ohio River historically known as a major center of American pottery and ceramics production.
  • B. Painesville, Ohio
    Painesville, Ohio is a small city in Lake County that serves as a suburban community within the Greater Cleveland metropolitan area.
  • C. Elyria, Ohio
    Elyria, Ohio is a city in Lorain County that serves as a residential and commercial hub within the Greater Cleveland area of northern Ohio.
  • D. Loudonville, Ohio
    Loudonville, Ohio is a small village in Ashland County known as the birthplace of inventor and engineer Charles F. Kettering.
  • E. Sylvania, Ohio
    Sylvania, Ohio is a suburban city near Toledo known for its residential communities, strong school system, and proximity to the Michigan border.
  • 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_69e0b4a81bec8190b69adfdc1336a015 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6799080cc819096dc31f41d1d7b49 completed April 20, 2026, 7:08 p.m.
Created at: April 16, 2026, 11:29 a.m.