Triple

T3508301
Position Surface form Disambiguated ID Type / Status
Subject Burlington, Massachusetts E74133 entity
Predicate hasHighSchool P113 FINISHED
Object Burlington High School E333136 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: Burlington High School | Statement: [Burlington, Massachusetts, hasHighSchool, Burlington High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burlington High School
Context triple: [Burlington, Massachusetts, hasHighSchool, Burlington High School]
  • A. Burlington High School
    Burlington High School is a secondary school best known as the alma mater of former NFL quarterback and sports broadcaster Tony Romo.
  • B. Burlington High School chosen
    Burlington High School is a public secondary school in Burlington, Massachusetts, best known as the alma mater of comedian and actress Amy Poehler.
  • C. Belmont High School
    Belmont High School is a public secondary school serving students in the suburban community of Belmont, Massachusetts.
  • D. Barrington High School
    Barrington High School is a public secondary school serving students in the northwest suburban community of Barrington, Illinois.
  • E. Rutland High School
    Rutland High School is a public secondary school serving students in the city of Rutland, Vermont.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0b635c81909bc95ba2562d8f94 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e3cd808190807d4acae2942a9d completed March 13, 2026, 2:18 a.m.
Created at: March 8, 2026, 3:18 p.m.