Triple

T4344892
Position Surface form Disambiguated ID Type / Status
Subject BBC Red Button E97874 entity
Predicate hasAccessMethod P56178 FINISHED
Object on-screen prompt during BBC programmes 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: on-screen prompt during BBC programmes | Statement: [BBC Red Button, hasAccessMethod, on-screen prompt during BBC programmes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAccessMethod
Context triple: [BBC Red Button, hasAccessMethod, on-screen prompt during BBC programmes]
  • A. hasAccessMode
    Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
  • B. hasAccessTo
    Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
  • C. hasAccessModel
    Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
  • D. hasHumanAccess
    Indicates that a human is able to access, use, or interact with the referenced entity or resource.
  • E. hasAccessTowards
    Indicates that one entity possesses the ability, permission, or means to reach, use, or interact with another entity or resource.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3518aa5cc8190b50f47b1070715fe completed March 12, 2026, 11:51 p.m.
PD Predicate disambiguation batch_69b34f4fe1c481908d6d66e15697c04b completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b350d1649881908fa6556d875a8b4d completed March 12, 2026, 11:48 p.m.
Created at: March 12, 2026, 11:15 p.m.