Triple

T20308722
Position Surface form Disambiguated ID Type / Status
Subject Town of Wakefield E510175 entity
Predicate hasMiddleSchool P113 FINISHED
Object Galvin 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: Galvin Middle School | Statement: [Town of Wakefield, hasMiddleSchool, Galvin Middle School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galvin Middle School
Context triple: [Town of Wakefield, hasMiddleSchool, Galvin Middle School]
  • A. Galvin Middle School chosen
    Galvin Middle School is a public middle school serving students in the town of Wakefield, Massachusetts.
  • B. Stone Middle School
    Stone Middle School is a public middle school serving students in the Centreville area.
  • C. Mill Middle School
    Mill Middle School is a public middle school serving students in the Williamsville Central School District in Williamsville, New York.
  • D. Wood Middle School
    Wood Middle School is a public middle school located in Alameda, California, serving students in grades 6–8 within the Alameda Unified School District.
  • E. Frank S. Greene Jr. Middle School
    Frank S. Greene Jr. Middle School is a public middle school in Palo Alto, California, named in honor of African American technologist and venture capitalist Frank S. Greene Jr.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6774286a88190800d6b062f3d7a9f completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.