Triple

T12344674
Position Surface form Disambiguated ID Type / Status
Subject Greenfield, Massachusetts E294319 entity
Predicate hasHighSchool P113 FINISHED
Object Greenfield High School E781545 NE FINISHED

How this triple was built (2 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 High School | Statement: [Greenfield, Massachusetts, hasHighSchool, Greenfield High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greenfield High School
Context triple: [Greenfield, Massachusetts, hasHighSchool, Greenfield High School]
  • A. Greenfield High School chosen
    Greenfield High School is a public secondary school serving students in the city of Greenfield in western Massachusetts.
  • B. Greenfield High School
    Greenfield High School is a public secondary school serving students in the city of Greenfield, Wisconsin.
  • C. Greenfield High School
    Greenfield High School is a public secondary school serving students in the city of Greenfield in Monterey County, California.
  • D. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • E. Greendale High School
    Greendale High School is a public secondary school serving the community of Greendale, Wisconsin, known for its academic and extracurricular programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7a4a448190aa70d66dc2f406c1 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af3d7778819091ab96f5d218d2c7 completed May 3, 2026, 2:13 a.m.
Created at: April 8, 2026, 9:53 p.m.