Triple

T560618
Position Surface form Disambiguated ID Type / Status
Subject Minneapolis E13441 entity
Predicate nickname P55 FINISHED
Object 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.
E75000 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: Mill City | Statement: [Minneapolis, nickname, Mill City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mill City
Context triple: [Minneapolis, nickname, Mill City]
  • A. Cream City
    Cream City is a nickname for Milwaukee, Wisconsin, derived from the distinctive light-colored cream brick used in many of its historic buildings.
  • B. Queen City
    Queen City is a popular nickname for Cincinnati, Ohio, highlighting its historic prominence and cultural importance in the region.
  • C. River City
    River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
  • D. 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.
  • E. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • 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: Mill City
Triple: [Minneapolis, nickname, Mill City]
Generated description
Mill City is a historic nickname for Minneapolis, reflecting its past prominence as a major flour-milling and industrial center along the Mississippi River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mill City
Target entity description: Mill City is a historic nickname for Minneapolis, reflecting its past prominence as a major flour-milling and industrial center along the Mississippi River.
  • A. Cream City
    Cream City is a nickname for Milwaukee, Wisconsin, derived from the distinctive light-colored cream brick used in many of its historic buildings.
  • B. Queen City
    Queen City is a popular nickname for Cincinnati, Ohio, highlighting its historic prominence and cultural importance in the region.
  • C. 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.
  • D. River City
    River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
  • E. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499e2795c8190903240e79964156d completed March 1, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f31b5a88190b39b678229ce83a3 completed March 2, 2026, 5:25 a.m.
NEDg Description generation batch_69a5201c3f188190819279e37c583f19 completed March 2, 2026, 5:29 a.m.
NED2 Entity disambiguation (via description) batch_69a520be351081908a70bdfea5560a38 completed March 2, 2026, 5:31 a.m.
Created at: March 1, 2026, 7:32 p.m.