Triple

T7762120
Position Surface form Disambiguated ID Type / Status
Subject Indianapolis metropolitan area E176047 entity
Predicate hasPrincipalCity P3940 FINISHED
Object Greenfield
Greenfield is a small city in central Indiana that serves as a suburban community within the greater Indianapolis metropolitan area.
 E688016 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: Greenfield | Statement: [Indianapolis metropolitan area, hasPrincipalCity, Greenfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greenfield
Context triple: [Indianapolis metropolitan area, hasPrincipalCity, 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. Greenfield
    Greenfield is a primarily residential neighborhood in Pittsburgh, Pennsylvania, known for its hilly streets, tight-knit community, and proximity to major city parks and universities.
  • D. Greenfield
    Greenfield is a small city located in Hennepin County, Minnesota, known for its semi-rural character and residential communities.
  • E. Greenfield
    Greenfield is a surname most notably associated with American actor Max Greenfield, known for his television and film roles.
  • 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: Greenfield
Triple: [Indianapolis metropolitan area, hasPrincipalCity, Greenfield]
Generated description
Greenfield is a small city in central Indiana that serves as a suburban community within the greater Indianapolis metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greenfield
Target entity description: Greenfield is a small city in central Indiana that serves as a suburban community within the greater Indianapolis 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. Greenfield
    Greenfield is a small city located in Hennepin County, Minnesota, known for its semi-rural character and residential communities.
  • D. Greenfield
    Greenfield is a surname most notably associated with American actor Max Greenfield, known for his television and film roles.
  • E. Greenfield
    Greenfield is a primarily residential neighborhood in Pittsburgh, Pennsylvania, known for its hilly streets, tight-knit community, and proximity to major city parks and universities.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70404c2108190ad2b900ac9bf582b completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7d658888190af97b83127086a2b completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c87bca908190a44e839824c23e95 completed March 29, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8e5e9f081908288b38ea25e81d2 completed March 29, 2026, 6:38 a.m.
Created at: March 27, 2026, 4:09 p.m.