Triple

T5307501
Position Surface form Disambiguated ID Type / Status
Subject City of Hamilton E120137 entity
Predicate nicknamed P744 FINISHED
Object Steel City
Steel City is a common nickname for Hamilton, Ontario, reflecting its historic role as a major Canadian center of steel production and heavy industry.
 E511017 NE FINISHED

How this triple was built (4 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: [City of Hamilton, nicknamed, Steel City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Steel City
Context triple: [City of Hamilton, nicknamed, Steel City]
  • A. Steel City
    Steel City is a nickname for Lorain, Ohio, reflecting its historic role as a major center of steel production and heavy industry.
  • B. 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.
  • C. Steeltown
    Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
  • D. Brass City
    Brass City is the popular nickname for Moradabad, an Indian city renowned for its large-scale brass handicraft and metalware industry.
  • E. The Brass City
    The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Steel City
Triple: [City of Hamilton, nicknamed, Steel City]
Generated description
Steel City is a common nickname for Hamilton, Ontario, reflecting its historic role as a major Canadian center of steel production and heavy industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Steel City
Target entity description: Steel City is a common nickname for Hamilton, Ontario, reflecting its historic role as a major Canadian center of steel production and heavy industry.
  • 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. 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. Steeltown
    Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
  • D. Brass City
    Brass City is the popular nickname for Moradabad, an Indian city renowned for its large-scale brass handicraft and metalware industry.
  • E. The Brass City
    The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
  • F. None of above. chosen

Provenance (5 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_69bd44704be88190acdb2ac481b0ff55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd851ee8908190814b695723247016 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10fb59ac8190ad23ea4f77a8c0e7 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf11cbcf4c819089369d00c2237f9c completed March 21, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69bf1226ddd08190a39799fd0db58694 completed March 21, 2026, 9:48 p.m.
Created at: March 20, 2026, 1:53 p.m.