Triple

T6280751
Position Surface form Disambiguated ID Type / Status
Subject Bizana E140774 entity
Predicate hasEducationalFacilityType P3445 FINISHED
Object primary schools 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: primary schools | Statement: [Bizana, hasEducationalFacilityType, primary schools]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationalFacilityType
Context triple: [Bizana, hasEducationalFacilityType, primary schools]
  • A. educationFacility
    Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
  • B. containsEducationalInstitution chosen
    Indicates that one entity geographically or administratively includes or encompasses an educational institution within its boundaries or structure.
  • C. hasEducationalServiceArea
    Indicates that an entity (such as an educational institution or authority) is responsible for providing educational services within a specified geographic area.
  • D. schoolSector
    Indicates the educational sector or category (such as public, private, or charter) to which a school belongs.
  • E. typeOfSchoolDistrict
    Indicates the classification or category of a school district, specifying what kind of school district it is.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ddb3a4819083455f6da854f8a9 completed March 22, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69c05608a5608190b22a1fdc4060470d completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:26 p.m.