Triple

T2219960
Position Surface form Disambiguated ID Type / Status
Subject Akrotiri and Dhekelia E48116 entity
Predicate hasEducationServices P37097 FINISHED
Object schools for children of UK service personnel 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: schools for children of UK service personnel | Statement: [Akrotiri and Dhekelia, hasEducationServices, schools for children of UK service personnel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEducationServices
Context triple: [Akrotiri and Dhekelia, hasEducationServices, schools for children of UK service personnel]
  • A. hasEducationalServiceArea
    Indicates that an entity (such as an educational institution or authority) is responsible for providing educational services within a specified geographic area.
  • B. hasEducationalProgram
    Indicates that an entity offers, runs, or is associated with a specific educational program.
  • C. hasEducationalSupportFrom
    Indicates that one entity receives educational assistance, guidance, or resources from another entity.
  • D. hasStudentServices
    Indicates that an entity provides or is associated with student support services for another entity or group.
  • E. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc01386588190a9507f2969a201ca completed March 7, 2026, 6:05 a.m.
PD Predicate disambiguation batch_69abbdac31d8819092d17815e11921e9 completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbfe93d7c81909f1b9c1b1e3c7989 completed March 7, 2026, 6:04 a.m.
Created at: March 4, 2026, 7:46 p.m.