Triple

T19389051
Position Surface form Disambiguated ID Type / Status
Subject Sanger, Texas E485012 entity
Predicate hasHighSchool P113 FINISHED
Object Sanger High 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: Sanger High School | Statement: [Sanger, Texas, hasHighSchool, Sanger High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanger High School
Context triple: [Sanger, Texas, hasHighSchool, Sanger High School]
  • A. Sanger High School chosen
    Sanger High School is a public secondary school serving students in the Sanger, Texas area.
  • B. South High School
    South High School is a public high school in Bakersfield, California, serving students as part of the Kern High School District.
  • C. Forest High School
    Forest High School is a secondary school located in Cinderford, Gloucestershire, England.
  • D. Sullivan High School
    Sullivan High School is a public secondary school serving students in the small city of Sullivan in southwestern Indiana.
  • E. Hall High School
    Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b425e848190ab5ae8ae0a034fe2 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.