Triple

T23311388
Position Surface form Disambiguated ID Type / Status
Subject Herricks E590592 entity
Predicate hasElementarySchool P113 FINISHED
Object Searingtown 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: Searingtown School | Statement: [Herricks, hasElementarySchool, Searingtown School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Searingtown School
Context triple: [Herricks, hasElementarySchool, Searingtown School]
  • A. Searingtown Elementary School chosen
    Searingtown Elementary School is a public primary school serving young students in the Searingtown community of New York.
  • B. Gault Schoolhouse
    Gault Schoolhouse is a campus facility at the College of Wooster, likely serving academic or administrative functions within the college community.
  • C. Abiel Smith School
    The Abiel Smith School is a historic 19th-century Boston school building recognized as one of the first public schools in the United States built specifically for African American children.
  • D. Huckleberry Hill School
    Huckleberry Hill School is a public elementary school serving young students in the town of Lynnfield, Massachusetts.
  • E. Brown’s Schoolhouse
    Brown’s Schoolhouse was the small early 19th-century school in rural North Carolina that evolved into what is now Duke University.
  • 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_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972bd3f88190a3859ffcf2c6ab49 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:06 p.m.