Triple

T6736465
Position Surface form Disambiguated ID Type / Status
Subject Black River (Ohio) E153766 entity
Predicate hasNearbyCity P350 FINISHED
Object Elyria, Ohio 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, Ohio | Statement: [Black River (Ohio), hasNearbyCity, Elyria, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elyria, Ohio
Context triple: [Black River (Ohio), hasNearbyCity, Elyria, Ohio]
  • 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. Hilliard, Ohio
    Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
  • 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. Hiram, Ohio
    Hiram, Ohio is a small village in northeastern Ohio best known as the longtime home of future First Lady Lucretia Garfield and the site of Hiram College, where James A. Garfield once taught and served as president.
  • E. Niles, Ohio
    Niles, Ohio is a small industrial city in northeastern Ohio best known as the birthplace of U.S. President William McKinley.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18369d88190a73349075462202b completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c97ca3d5e0819097e904184202b75f completed March 29, 2026, 7:25 p.m.
Created at: March 27, 2026, 2:09 p.m.