Triple

T9513661
Position Surface form Disambiguated ID Type / Status
Subject Westlake, Ohio E229465 entity
Predicate adjacentTo P224 FINISHED
Object Avon, Ohio E421205 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: Avon, Ohio | Statement: [Westlake, Ohio, adjacentTo, Avon, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avon, Ohio
Context triple: [Westlake, Ohio, adjacentTo, Avon, Ohio]
  • A. Avon, Ohio chosen
    Avon, Ohio is a suburban city in northeastern Ohio known for its residential communities, retail development, and location within the Greater Cleveland metropolitan area.
  • B. New London, Ohio
    New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
  • C. Wilmington, Ohio
    Wilmington, Ohio is a small city in southwestern Ohio known historically as a regional transportation hub and home to a major air park and agricultural community.
  • D. Wakeman, Ohio
    Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
  • E. Helena, Ohio
    Helena, Ohio is a small unincorporated community located in Sandusky County in northwestern Ohio.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd986aa99c8190b2eaa7f9b111aa2e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d32a3c9c6881908757c63a0ccdc54e completed April 6, 2026, 3:36 a.m.
Created at: March 30, 2026, 7:58 p.m.