Triple

T22613363
Position Surface form Disambiguated ID Type / Status
Subject Whitehouse, Texas E566773 entity
Predicate hasHighSchool P113 FINISHED
Object Whitehouse 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: Whitehouse High School | Statement: [Whitehouse, Texas, hasHighSchool, Whitehouse High School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whitehouse High School
Context triple: [Whitehouse, Texas, hasHighSchool, Whitehouse High School]
  • A. Whitehouse High School chosen
    Whitehouse High School is a public high school in Whitehouse, Texas, best known for being the alma mater of NFL quarterback Patrick Mahomes.
  • B. White House High School
    White House High School is a public secondary school serving students in the community of White House, Tennessee.
  • C. Washington High School
    Washington High School is a public secondary school in California that serves students in the Fremont Unified School District.
  • D. Forest High School
    Forest High School is a secondary school located in Cinderford, Gloucestershire, England.
  • E. Wall High School
    Wall High School is a public secondary school serving students in grades 9–12 in Wall Township, Monmouth County, New Jersey.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167ec03c48190b55394b7296f48e5 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:58 p.m.