Triple

T21375320
Position Surface form Disambiguated ID Type / Status
Subject Banbury Road E527185 entity
Predicate hasSchool P113 FINISHED
Object Oxford 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: Oxford High School | Statement: [Banbury Road, hasSchool, Oxford High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford High School
Context triple: [Banbury Road, hasSchool, Oxford High School]
  • A. Oxford High School chosen
    Oxford High School is a girls' secondary school in Oxford, England, known for its strong academic reputation and notable alumnae, including actress Dame Maggie Smith.
  • B. Oxford High School
    Oxford High School is a public secondary school serving students in the town of Oxford, Massachusetts.
  • C. Oxford High School
    Oxford High School is a public secondary school serving students in the town of Oxford, Connecticut.
  • D. Oxford Hills Comprehensive High School
    Oxford Hills Comprehensive High School is a public secondary school serving students in the Oxford Hills region of western Maine.
  • E. Oxford Center School
    Oxford Center School is a public elementary school serving young students in the town of Oxford, Connecticut.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bb031988190ae587730a2131a50 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:11 p.m.