Triple

T13983388
Position Surface form Disambiguated ID Type / Status
Subject Independent School League E336370 entity
Predicate hasMemberSchoolType P19184 FINISHED
Object college-preparatory school 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: college-preparatory school | Statement: [Independent School League, hasMemberSchoolType, college-preparatory school]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMemberSchoolType
Context triple: [Independent School League, hasMemberSchoolType, college-preparatory school]
  • A. hasSchoolBoardType
    Indicates the specific governance or organizational structure type of a school board associated with an educational institution or district.
  • B. hasSchoolCategory chosen
    Indicates that an entity (such as a school or educational institution) is associated with a particular category or type of school.
  • C. hasSchoolsAccess
    Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
  • D. hasStudentMembership
    Indicates that an entity holds or is associated with a membership specifically designated for students.
  • E. hasMemberType
    Indicates that an entity includes or is associated with members belonging to a specified type or category.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea2e8808190a1203a6386224bd8 completed April 14, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69dd465a21408190b912a42c50ffa0d9 completed April 13, 2026, 7:39 p.m.
Created at: April 9, 2026, 10:18 p.m.