Triple

T21206058
Position Surface form Disambiguated ID Type / Status
Subject Renner Middle School E522581 entity
Predicate hasPublicSchoolStatus P85263 FINISHED
Object true LITERAL 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: true | Statement: [Renner Middle School, hasPublicSchoolStatus, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPublicSchoolStatus
Context triple: [Renner Middle School, hasPublicSchoolStatus, true]
  • A. hasPublicMiddleSchool
    Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
  • B. hasSchool
    Indicates that an entity possesses, is associated with, or is served by a particular school.
  • C. isNonPublicSchool chosen
    Indicates that a school operates as a private or otherwise non-public institution, not funded or administered as part of the public school system.
  • D. hasSchoolsAccess
    Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
  • E. hasSchoolIn
    Indicates that a school is located within or operates in a specified place or region.
  • F. None of above.

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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73435322c8190bf4156fbd14edc5c completed April 21, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69e5f6094e3c81909ee9699e00d371f7 completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 3:20 p.m.