Triple

T21373949
Position Surface form Disambiguated ID Type / Status
Subject Brooklyn, Ohio E527143 entity
Predicate borders P224 FINISHED
Object Linndale, 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: Linndale, Ohio | Statement: [Brooklyn, Ohio, borders, Linndale, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linndale, Ohio
Context triple: [Brooklyn, Ohio, borders, Linndale, Ohio]
  • A. Linndale, Ohio chosen
    Linndale, Ohio is a tiny village in Cuyahoga County known for its small size, proximity to Cleveland, and historically heavy reliance on traffic enforcement for revenue.
  • B. Lindsey, Ohio
    Lindsey, Ohio is a small rural community located in Sandusky County in northwestern Ohio.
  • C. Ridgefield, Ohio
    Ridgefield, Ohio is a small community located in Huron County in the northern part of the U.S. state of Ohio.
  • D. Lockbourne, Ohio
    Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
  • E. Northfield, Ohio
    Northfield, Ohio is a small suburban village in Summit County known for its residential character and proximity to the Cleveland metropolitan area.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b248508190aebeb671e55198da completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.