Triple

T5296167
Position Surface form Disambiguated ID Type / Status
Subject Mahoning County, Ohio E119860 entity
Predicate capital P234 FINISHED
Object Youngstown, Ohio E26250 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: Youngstown, Ohio | Statement: [Mahoning County, Ohio, capital, Youngstown, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youngstown, Ohio
Context triple: [Mahoning County, Ohio, capital, Youngstown, Ohio]
  • A. Youngstown chosen
    Youngstown is an industrial city in northeastern Ohio historically known for its steel production and central role in the Rust Belt’s economic rise and decline.
  • B. Lorain
    Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
  • C. Clyde, Ohio
    Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
  • D. Montgomery, Ohio
    Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
  • E. Newark, Ohio
    Newark, Ohio is a mid-sized city in central Ohio known as the county seat of Licking County and a regional hub for industry, education, and transportation.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8503cf908190b1f93fb10a33c49c completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eea9112c8190b0f0040afbf916ce completed March 28, 2026, 3:07 p.m.
Created at: March 20, 2026, 1:53 p.m.