Triple

T15607214
Position Surface form Disambiguated ID Type / Status
Subject Verona Public Schools E375188 entity
Predicate hasSchool P113 FINISHED
Object Verona High School E373941 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: Verona High School | Statement: [Verona Public Schools, hasSchool, Verona High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verona High School
Context triple: [Verona Public Schools, hasSchool, Verona High School]
  • A. Verona High School chosen
    Verona High School is the public secondary school serving students in the suburban community of Verona, New Jersey.
  • B. Verona Public Schools
    Verona Public Schools is the public school district serving students in the suburban township of Verona in Essex County, New Jersey.
  • C. Venice High School
    Venice High School is a public secondary school in Los Angeles, California, known for its historic campus and frequent use as a filming location for movies and television.
  • D. Venice High School
    Venice High School is a public secondary school serving students in the coastal community of Venice, Florida.
  • E. Verbena High School
    Verbena High School is a public secondary school serving students in the rural community of Verbena in Chilton County, Alabama.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f37383c81909d0efce84508a034 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.