Triple

T12036168
Position Surface form Disambiguated ID Type / Status
Subject Saugus, Massachusetts E286542 entity
Predicate hasHighSchool P113 FINISHED
Object Saugus High School E538789 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: Saugus High School | Statement: [Saugus, Massachusetts, hasHighSchool, Saugus High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saugus High School
Context triple: [Saugus, Massachusetts, hasHighSchool, Saugus High School]
  • A. Saugus High School chosen
    Saugus High School is a public secondary school serving the community of Saugus, Massachusetts.
  • B. Saugus Public Schools
    Saugus Public Schools is the public school district that serves students in the town of Saugus, Massachusetts.
  • C. Salem South
    Salem South is a state legislative assembly constituency located in the city of Salem in Tamil Nadu, India.
  • D. Hawthorne High School
    Hawthorne High School is a public secondary school serving students in the city of Hawthorne in Los Angeles County, California.
  • E. Sequoia High School
    Sequoia High School is a public secondary school known for serving a diverse student body in the San Francisco Bay Area.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90408cbf0819093270c9833ef149a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f64826a481908a09ca1c91c4e04f completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.