Triple

T20052769
Position Surface form Disambiguated ID Type / Status
Subject Seaford, New York E499245 entity
Predicate hasMiddleSchool P113 FINISHED
Object Seaford Middle 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: Seaford Middle School | Statement: [Seaford, New York, hasMiddleSchool, Seaford Middle School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seaford Middle School
Context triple: [Seaford, New York, hasMiddleSchool, Seaford Middle School]
  • A. Seaford High School
    Seaford High School is a public secondary school serving students in the Seaford community of Nassau County, New York.
  • B. Seaford Central
    Seaford Central is an electoral ward that forms part of the local government representation for the town of Seaford in East Sussex, England.
  • C. Seaford Union Free School District chosen
    Seaford Union Free School District is a public school district serving the educational needs of students in the Seaford community on Long Island, New York.
  • D. Seymour Middle School
    Seymour Middle School is a public middle school serving students in the town of Seymour, Connecticut.
  • E. Sherwood Middle School
    Sherwood Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6633043a481908359ad232607182a completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:38 p.m.