Triple

T35726127
Position Surface form Disambiguated ID Type / Status
Subject Department of Education, Cultural Heritage and Tourism E1032616 entity
Predicate educatesProfessionalsFor P148092 FINISHED
Object education sector 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: education sector | Statement: [Department of Education, Cultural Heritage and Tourism, educatesProfessionalsFor, education sector]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educatesProfessionalsFor
Context triple: [Department of Education, Cultural Heritage and Tourism, educatesProfessionalsFor, education sector]
  • A. educates
    Indicates that one entity provides instruction, knowledge, or training to another entity.
  • B. educatesForSector chosen
    Indicates that an entity provides education or training specifically aimed at preparing individuals for a particular sector or industry.
  • C. preparesGraduatesFor
    Indicates that one entity equips or trains graduates with the knowledge, skills, or qualifications needed to succeed in another specified context, role, or activity.
  • D. educationProvision
    Indicates the act or arrangement of supplying educational services, resources, or opportunities to individuals or groups.
  • E. regulatedProfessionPathway
    Indicates that an entity follows an officially controlled or legally mandated pathway to enter or practice a regulated profession.
  • 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_69f76e102b5881909e5d63a30a5cecbe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a34f8ee08190a040304635539a8f completed May 3, 2026, 7:34 p.m.
PD Predicate disambiguation batch_69f7a06f125c8190843af194f042a465 completed May 3, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:05 p.m.