Triple

T21436906
Position Surface form Disambiguated ID Type / Status
Subject Volusia County Schools E528836 entity
Predicate oversees P46 FINISHED
Object Mainland 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: Mainland High School | Statement: [Volusia County Schools, oversees, Mainland High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mainland High School
Context triple: [Volusia County Schools, oversees, Mainland High School]
  • A. Mainland High School chosen
    Mainland High School is a public high school in Daytona Beach, Florida, best known for being the alma mater of NBA star Vince Carter.
  • B. Forest High School
    Forest High School is a secondary school located in Cinderford, Gloucestershire, England.
  • C. Melissa High School
    Melissa High School is a public secondary school serving students in the growing community of Melissa, Texas.
  • D. Union High School
    Union High School is an American secondary school best known as the alma mater of actor and comedian Robert Wuhl.
  • E. Union High School
    Union High School is an American secondary school best known as the alma mater of actor Ray Liotta.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b537f39081909220577618657805 completed April 22, 2026, 11:47 a.m.
Created at: April 16, 2026, 6:03 p.m.