Triple

T2045921
Position Surface form Disambiguated ID Type / Status
Subject Norwalk, Ohio E45450 entity
Predicate locatedNear P294 FINISHED
Object Sandusky, Ohio E44706 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: Sandusky, Ohio | Statement: [Norwalk, Ohio, locatedNear, Sandusky, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandusky, Ohio
Context triple: [Norwalk, Ohio, locatedNear, Sandusky, Ohio]
  • A. Sandusky, Ohio chosen
    Sandusky, Ohio is a city on the shores of Lake Erie best known as a regional tourist hub and home to the Cedar Point amusement park.
  • B. Norwalk, Ohio
    Norwalk, Ohio is a small city in northern Ohio that serves as the county seat of Huron County and a regional hub for the surrounding rural communities.
  • C. Steubenville, Ohio
    Steubenville, Ohio is a historic industrial city along the Ohio River known for its steel production heritage and role as a regional transportation hub.
  • D. Riverside, Ohio
    Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
  • E. Bryan, Ohio
    Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae27170870819083112aee662c681c completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.