Triple

T21380547
Position Surface form Disambiguated ID Type / Status
Subject Boardman, Ohio E527340 entity
Predicate hasHighSchool P113 FINISHED
Object Boardman High School NE NERFINISHED

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: Boardman High School | Statement: [Boardman, Ohio, hasHighSchool, Boardman High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boardman High School
Context triple: [Boardman, Ohio, hasHighSchool, Boardman High School]
  • A. Boardman High School chosen
    Boardman High School is a public high school in Boardman, Ohio, best known for being the alma mater of former NFL quarterback Bernie Kosar.
  • B. Grant High School
    Grant High School is a secondary school that serves students from the Grant Park area.
  • C. Ross High School
    Ross High School is a secondary school serving the town of Tranent and the surrounding area in East Lothian, Scotland.
  • D. Richard Gahr High School
    Richard Gahr High School is a public high school in Cerritos, California, known for its diverse student body and strong academic and extracurricular programs.
  • E. Mattoon High School
    Mattoon High School is a public secondary school serving students in the Mattoon, Illinois community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cdab8c8190a7eebe6e5961ee75 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:11 p.m.