Triple

T20290876
Position Surface form Disambiguated ID Type / Status
Subject Ohio's 13th congressional district E510014 entity
Predicate containsUrbanAreas P11388 FINISHED
Object Youngstown NE NERFINISHED

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 | Statement: [Ohio's 13th congressional district, containsUrbanAreas, Youngstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youngstown
Context triple: [Ohio's 13th congressional district, containsUrbanAreas, Youngstown]
  • 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. Youngstown, Pennsylvania
    Youngstown, Pennsylvania is a small unincorporated community and census-designated place in Westmoreland County, known for its location within the scenic Ligonier Valley region of southwestern Pennsylvania.
  • C. Lorain
    Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
  • D. Akron
    Akron is an industrial city in northeastern Ohio known historically for its rubber and tire manufacturing industry.
  • E. Johnstown, Ohio
    Johnstown, Ohio is a small village in central Ohio known for its close-knit community and location within the Columbus metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67695d4d48190b932317d37aa95d9 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 11:12 a.m.