Triple

T31385688
Position Surface form Disambiguated ID Type / Status
Subject FE Other Disciplines E800586 entity
Predicate usesReferencePolicy P35521 FINISHED
Object electronic reference provided during exam 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: electronic reference provided during exam | Statement: [FE Other Disciplines, usesReferencePolicy, electronic reference provided during exam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesReferencePolicy
Context triple: [FE Other Disciplines, usesReferencePolicy, electronic reference provided during exam]
  • A. hasReferencePolicy chosen
    Indicates that an entity is governed by or associated with a specific reference policy that defines how it should be used, accessed, or managed.
  • B. referencePolicy
    Indicates that one entity defines rules or guidelines governing how another entity may be referred to, cited, or mentioned.
  • C. usedPolicy
    Indicates that an entity applied or followed a particular policy in carrying out an action or decision.
  • D. usesPolicyModel
    Indicates that one entity applies, relies on, or operates according to a particular policy model.
  • E. reflectsPolicy
    Indicates that one entity embodies, represents, or is aligned with the rules, principles, or stance defined by a particular policy.
  • 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_69f224e9d7048190b0cc20f9071bd3e4 completed April 29, 2026, 3:34 p.m.
NER Named-entity recognition batch_69f71996e1a48190ac59a1d66d7c44e8 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
Created at: April 29, 2026, 9:19 p.m.