Triple

T6238237
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Ohio E139529 entity
Predicate hasMajorCity P316 FINISHED
Object Elyria E274286 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: Elyria | Statement: [Northeastern Ohio, hasMajorCity, Elyria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elyria
Context triple: [Northeastern Ohio, hasMajorCity, Elyria]
  • A. Elyria, Ohio chosen
    Elyria, Ohio is a city in Lorain County that serves as a residential and commercial hub within the Greater Cleveland area of northern Ohio.
  • B. Havana, Ohio
    Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
  • C. Wapakoneta, Ohio
    Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
  • D. Lorain
    Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
  • E. Geneva, Ohio
    Geneva, Ohio is a small city in northeastern Ohio best known as the birthplace of automobile pioneer Ransom E. Olds.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0630373088190a9d4b1f7e442c129 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81e93671481909555acbc8a712930 completed March 28, 2026, 6:31 p.m.
Created at: March 22, 2026, 4:23 p.m.