Triple

T2770037
Position Surface form Disambiguated ID Type / Status
Subject Milwaukee County E61432 entity
Predicate contains P35 FINISHED
Object City of Greenfield
The City of Greenfield is a suburban municipality in southeastern Wisconsin that forms part of the Milwaukee metropolitan area.
E296697 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: City of Greenfield | Statement: [Milwaukee County, contains, City of Greenfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Greenfield
Context triple: [Milwaukee County, contains, City of Greenfield]
  • A. Greenfield
    Greenfield is a village in the Saddleworth area of Oldham, Greater Manchester, England, situated on the edge of the Pennines.
  • B. Greenfield
    Greenfield is a town located within Saratoga County in the state of New York, United States.
  • C. Groveland
    Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
  • D. Springwood
    Springwood is a major town in the Lower Blue Mountains region of New South Wales, Australia, known as a residential and commercial hub amid bushland and scenic surroundings.
  • E. Springwood
    Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
  • 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: City of Greenfield
Triple: [Milwaukee County, contains, City of Greenfield]
Generated description
The City of Greenfield is a suburban municipality in southeastern Wisconsin that forms part of the Milwaukee metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: City of Greenfield
Target entity description: The City of Greenfield is a suburban municipality in southeastern Wisconsin that forms part of the Milwaukee metropolitan area.
  • A. Greenfield
    Greenfield is a village in the Saddleworth area of Oldham, Greater Manchester, England, situated on the edge of the Pennines.
  • B. Greenfield
    Greenfield is a town located within Saratoga County in the state of New York, United States.
  • C. Groveland
    Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
  • D. Springwood
    Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
  • E. Springwood
    Springwood is a major town in the Lower Blue Mountains region of New South Wales, Australia, known as a residential and commercial hub amid bushland and scenic surroundings.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05061808190abe709eff7a8c986 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0b6368081908e2520ac6680a409 completed March 10, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69afc145e61881908c0eeae455b02a78 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.