Triple

T2062993
Position Surface form Disambiguated ID Type / Status
Subject British Sign Language E45832 entity
Predicate usedInEducationPolicy P23523 FINISHED
Object UK Deaf education settings 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: UK Deaf education settings | Statement: [British Sign Language, usedInEducationPolicy, UK Deaf education settings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInEducationPolicy
Context triple: [British Sign Language, usedInEducationPolicy, UK Deaf education settings]
  • A. usedInEducationIn chosen
    Indicates that something is employed or applied within educational contexts in a particular place or institution.
  • B. educationPolicy
    Indicates a relationship where an authority or entity establishes, governs, or influences rules, strategies, or frameworks guiding an education system or educational practices.
  • C. hasEducationalUse
    Indicates that something is intended to be used for educational or instructional purposes.
  • D. educationPractice
    Indicates that an entity engages in, applies, or embodies a particular educational method, strategy, or instructional approach.
  • E. educationalImpact
    Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
  • 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_69a8891b38288190abd572ccad9b6928 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9d3a92081909416c1d087876e99 completed March 7, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69abb7aee9b48190999620176e3a6ee2 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:40 p.m.