Triple

T4282544
Position Surface form Disambiguated ID Type / Status
Subject Waterbury E97186 entity
Predicate nickname P55 FINISHED
Object The Brass City
The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
E426335 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: The Brass City | Statement: [Waterbury, nickname, The Brass City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Brass City
Context triple: [Waterbury, nickname, The Brass 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. 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.
  • D. 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.
  • E. Steeltown
    Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
  • 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: The Brass City
Triple: [Waterbury, nickname, The Brass City]
Generated description
The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Brass City
Target entity description: The Brass City is a nickname for Waterbury, Connecticut, reflecting its historic prominence in brass manufacturing and metalworking.
  • 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. 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.
  • D. 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.
  • E. Steeltown
    Steeltown is a nickname for the Canadian city of Hamilton, reflecting its historic prominence as a major steel-producing industrial center.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3503a84548190989a96d1a30d6ef7 completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7bec1a88190bd36ed6d48e1c94e completed March 14, 2026, 7:32 p.m.
NEDg Description generation batch_69b5b870a66c8190a59bfc0e99234596 completed March 14, 2026, 7:35 p.m.
NED2 Entity disambiguation (via description) batch_69b5b908fad88190846278c782a10cdb completed March 14, 2026, 7:37 p.m.
Created at: March 12, 2026, 11:07 p.m.