Triple

T9696157
Position Surface form Disambiguated ID Type / Status
Subject Celeryville, Ohio E234657 entity
Predicate locatedNear P294 FINISHED
Object Willard, Ohio E294107 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: Willard, Ohio | Statement: [Celeryville, Ohio, locatedNear, Willard, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willard, Ohio
Context triple: [Celeryville, Ohio, locatedNear, Willard, Ohio]
  • A. Willard, Ohio chosen
    Willard, Ohio is a small city in north-central Ohio known historically as a railroad town and for its agricultural and manufacturing industries.
  • B. Waverly, Ohio
    Waverly, Ohio is a small city in southern Ohio known as the hometown of the country rock band Pure Prairie League.
  • C. Whitehouse, Ohio
    Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
  • D. 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.
  • E. Townsend, Ohio
    Townsend, Ohio is an unincorporated rural community located in Huron County in northern 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d3a88788190a4235a1ab33341ec completed April 1, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69d380c81c7c81908361d237d79f1ff0 completed April 6, 2026, 9:45 a.m.
Created at: March 30, 2026, 8:17 p.m.