Triple

T2445252
Position Surface form Disambiguated ID Type / Status
Subject Hamilton, Ontario E53375 entity
Predicate hasNickName P39 FINISHED
Object Steeltown E104468 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: Steeltown | Statement: [Hamilton, Ontario, hasNickName, Steeltown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steeltown
Context triple: [Hamilton, Ontario, hasNickName, Steeltown]
  • A. Steeltown chosen
    Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
  • B. Steel City
    Steel City is a nickname for Lorain, Ohio, reflecting its historic role as a major center of steel production and heavy industry.
  • C. 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.
  • D. Glass City
    Glass City is a nickname for Toledo, Ohio, reflecting its historic prominence in the glass manufacturing industry.
  • E. Mill City
    Mill City is the nickname for Lowell, Massachusetts, a historic New England city known for its 19th-century textile mills and role in the American Industrial Revolution.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca23ebe8819099a579a07c1bb708 completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0baa6448190a4046a039168b8fe completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.