Triple

T22613368
Position Surface form Disambiguated ID Type / Status
Subject Whitehouse, Texas E566773 entity
Predicate hasElementarySchool P113 FINISHED
Object Brown Elementary 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: Brown Elementary School | Statement: [Whitehouse, Texas, hasElementarySchool, Brown Elementary School]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brown Elementary School
Context triple: [Whitehouse, Texas, hasElementarySchool, Brown Elementary School]
  • A. Brown Elementary School chosen
    Brown Elementary School is a public primary school serving young students in the community of Whitehouse, Texas.
  • B. Brown Elementary School
    Brown Elementary School is a public primary school serving young students in the Channelview, Texas community.
  • C. Brown Elementary School
    Brown Elementary School is a public primary school serving young students in the town of Swansea, Massachusetts.
  • D. Brown Elementary School
    Brown Elementary School is a public elementary school in Natick, Massachusetts, serving young students as part of the Natick Public Schools district.
  • E. Bell Elementary School
    Bell Elementary School is a public primary school serving young students in the small town of Bell, Florida.
  • 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.