Triple

T11744775
Position Surface form Disambiguated ID Type / Status
Subject Oxford, Massachusetts E279249 entity
Predicate hasHighSchool P113 FINISHED
Object Oxford High School E636089 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: Oxford High School | Statement: [Oxford, Massachusetts, hasHighSchool, Oxford High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxford High School
Context triple: [Oxford, Massachusetts, hasHighSchool, Oxford High School]
  • A. Oxford High School
    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 chosen
    Oxford High School is a public secondary school serving students in the town of Oxford, Massachusetts.
  • C. 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.
  • D. Oxford Middle School
    Oxford Middle School is a public middle-level educational institution serving students in the town of Oxford, Massachusetts.
  • E. Middlesex High School
    Middlesex High School is a public secondary school serving students in grades 9–12 in Middlesex Borough, New Jersey.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019e4f0988190afe0b92f4c9d8073 completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.