Triple

T6238401
Position Surface form Disambiguated ID Type / Status
Subject Youngstown–Warren–Boardman metropolitan area E139533 entity
Predicate centeredOn P164 FINISHED
Object Youngstown 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 | Statement: [Youngstown–Warren–Boardman metropolitan area, centeredOn, Youngstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Youngstown
Context triple: [Youngstown–Warren–Boardman metropolitan area, centeredOn, 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. Lorain
    Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
  • C. Akron
    Akron is an industrial city in northeastern Ohio known historically for its rubber and tire manufacturing industry.
  • D. Akron, Pennsylvania
    Akron, Pennsylvania is a small borough in Lancaster County known for its residential community character and proximity to the region’s agricultural and Amish areas.
  • E. Mahoningtown
    Mahoningtown is a neighborhood and former independent community now incorporated into the city of New Castle in western Pennsylvania.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0630373088190a9d4b1f7e442c129 completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9fc2e796c81908e291a11f239b9fc completed March 30, 2026, 4:29 a.m.
Created at: March 22, 2026, 4:23 p.m.