Triple

T817660
Position Surface form Disambiguated ID Type / Status
Subject Sheffield E17685 entity
Predicate hasNickname P39 FINISHED
Object Steel City E19280 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: Steel City | Statement: [Sheffield, hasNickname, Steel City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steel City
Context triple: [Sheffield, hasNickname, Steel City]
  • A. Steel City
    Steel City is the industrial nickname for Pueblo, Colorado, reflecting its historic role as a major steel-producing center in the United States.
  • B. Mill City
    Mill City is a historic nickname for Minneapolis, reflecting its past prominence as a major flour-milling and industrial center along the Mississippi River.
  • C. Pittsburgh, Pennsylvania chosen
    Pittsburgh, Pennsylvania is a major U.S. city in western Pennsylvania known for its historic steel industry, numerous bridges, and strong educational and technology sectors.
  • D. Duquesne, Pennsylvania
    Duquesne, Pennsylvania is a small industrial city along the Monongahela River near Pittsburgh, historically known as a major steel-producing community in the American Rust Belt.
  • E. River City
    River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b47ba481908a8db2bec414a3e4 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:38 p.m.