Triple

T7149580
Position Surface form Disambiguated ID Type / Status
Subject Syosset, New York E166657 entity
Predicate hasHighSchool P113 FINISHED
Object Syosset High School E578954 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: Syosset High School | Statement: [Syosset, New York, hasHighSchool, Syosset High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syosset High School
Context triple: [Syosset, New York, hasHighSchool, Syosset High School]
  • A. Syosset High School chosen
    Syosset High School is a public high school in Syosset, New York, known for its strong academics and notable alumni in entertainment, business, and public life.
  • B. Oiso High School
    Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
  • C. Kaiapoi High School
    Kaiapoi High School is a co-educational secondary school serving the town of Kaiapoi and surrounding areas in the Canterbury region of New Zealand.
  • D. Bow High School
    Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
  • E. Blume High School
    Blume High School is an educational institution best known as the high school attended by astronaut and first Moon-walker Neil A. Armstrong.
  • 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7f130e08190bc5ca99f90f9de92 completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ada940e08190b16e97e363801e75 completed March 28, 2026, 10:30 a.m.
Created at: March 27, 2026, 2:46 p.m.