Triple

T5237443
Position Surface form Disambiguated ID Type / Status
Subject Scottish Credit and Qualifications Framework E118256 entity
Predicate typeOfLevelDescriptor P62311 FINISHED
Object knowledge and understanding 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: knowledge and understanding | Statement: [Scottish Credit and Qualifications Framework, typeOfLevelDescriptor, knowledge and understanding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfLevelDescriptor
Context triple: [Scottish Credit and Qualifications Framework, typeOfLevelDescriptor, knowledge and understanding]
  • A. hasLevelDescription
    Indicates that an entity is associated with a textual description specifying its level, degree, or stage.
  • B. typeStratum
    Indicates that one entity is classified as a geological or conceptual layer or stratum within which the other entity is situated or to which it belongs.
  • C. typeOf
    Indicates that one entity is a specific kind, class, or category instance of another more general entity.
  • D. typeOfRule
    Indicates that one rule is classified as a specific kind or category of another, more general rule.
  • E. typeOfLimit
    Indicates that one entity specifies the category or kind of limit that applies to another entity.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b27990c8190b6a3c24de09c8c18 completed March 20, 2026, 4:51 p.m.
PD Predicate disambiguation batch_69bd77c1397c8190a7fd844d7a396e54 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd79e9d794819097bb628c603d14af completed March 20, 2026, 4:46 p.m.
Created at: March 20, 2026, 1:49 p.m.