Triple

T10480029
Position Surface form Disambiguated ID Type / Status
Subject Al-Farrāʾ E247145 entity
Predicate schoolOfGrammar P94544 FINISHED
Object Kufan 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: Kufan school | Statement: [Al-Farrāʾ, schoolOfGrammar, Kufan school]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: schoolOfGrammar
Context triple: [Al-Farrāʾ, schoolOfGrammar, Kufan school]
  • A. school
    Indicates that an entity attends, is enrolled in, or is institutionally associated as a student with a particular school.
  • B. RoyalAcademySchoolsType
    Indicates that an entity is classified as a type or category associated with the Royal Academy Schools.
  • C. publicSchool
    Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
  • D. educationFacility
    Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
  • E. schoolSector
    Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
  • F. None of above. chosen

Provenance (4 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095b2ec881909e1220d83e750a75 completed April 7, 2026, 1:40 p.m.
PD Predicate disambiguation batch_69d4fb8a30848190b33cf43f005a028e completed April 7, 2026, 12:41 p.m.
PDg Predicate description generation batch_69d5092af880819082b42c0a68e45c5f completed April 7, 2026, 1:39 p.m.
Created at: April 6, 2026, 12:22 p.m.