Triple

T16829240
Position Surface form Disambiguated ID Type / Status
Subject Oneida, Tennessee E409102 entity
Predicate hasHighSchool P113 FINISHED
Object Oneida High School E1235417 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: Oneida High School | Statement: [Oneida, Tennessee, hasHighSchool, Oneida High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oneida High School
Context triple: [Oneida, Tennessee, hasHighSchool, Oneida High School]
  • A. Oneida Special School District chosen
    Oneida Special School District is a local public school district serving students in the town of Oneida, Tennessee.
  • B. Taconic High School
    Taconic High School is a public secondary school serving students in the city of Pittsfield, Massachusetts.
  • C. William Fremd High School
    William Fremd High School is a public secondary school serving students in the northwest suburban community of Palatine, Illinois.
  • D. Shenendehowa High School
    Shenendehowa High School is a public high school in Clifton Park, New York, known for its strong athletics programs and as the alma mater of NBA player Kevin Huerter.
  • E. Sayville High School
    Sayville High School is a public secondary school serving students in the Sayville area of Long Island, New York.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b315dbbc81908a1c83069e058770 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb13ec908190853627066fb2c492 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.