Triple

T15946421
Position Surface form Disambiguated ID Type / Status
Subject Glenn Dale, Maryland E386694 entity
Predicate hasPublicSchool P113 FINISHED
Object Bowie High School E280771 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: Bowie High School | Statement: [Glenn Dale, Maryland, hasPublicSchool, Bowie High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bowie High School
Context triple: [Glenn Dale, Maryland, hasPublicSchool, Bowie High School]
  • A. Bowie High School chosen
    Bowie High School is a public secondary school serving students in the suburban community of Bowie in Prince George's County, Maryland.
  • B. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • C. Wall High School
    Wall High School is a public secondary school serving students in grades 9–12 in Wall Township, Monmouth County, New Jersey.
  • D. Anna High School
    Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
  • E. Osbourn High School
    Osbourn High School is a public secondary school serving students in the city of Manassas, Virginia.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d1a4c08190afc325491ba38870 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.