Triple

T1952800
Position Surface form Disambiguated ID Type / Status
Subject Northern Ohio E42196 entity
Predicate includes P1393 FINISHED
Object Lorain, Ohio E20113 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: Lorain, Ohio | Statement: [Northern Ohio, includes, Lorain, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorain, Ohio
Context triple: [Northern Ohio, includes, Lorain, Ohio]
  • A. Canton, Ohio
    Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
  • B. Lorain, Ohio, United States chosen
    Lorain, Ohio, United States is an industrial city on Lake Erie best known as the birthplace of Nobel Prize–winning author Toni Morrison.
  • C. Milan, Ohio
    Milan, Ohio is a small historic village in northern Ohio best known as the birthplace of inventor Thomas Edison.
  • D. Hamilton, Ohio
    Hamilton, Ohio is a historic industrial city in southwestern Ohio that serves as the county seat of Butler County and is part of the greater Cincinnati–Miami Valley region.
  • E. Fairborn, Ohio
    Fairborn, Ohio is a city in Greene County that forms part of the Dayton metropolitan area in southwestern 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3501d108190bc5cb23f53db4411 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f702640819085b5d5d69615b92a completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:36 p.m.