Triple

T28265050
Position Surface form Disambiguated ID Type / Status
Subject 1+1 television network E712678 entity
Predicate primaryTargetAudience P10804 FINISHED
Object Ukrainian-speaking viewers 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: Ukrainian-speaking viewers | Statement: [1+1 television network, primaryTargetAudience, Ukrainian-speaking viewers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryTargetAudience
Context triple: [1+1 television network, primaryTargetAudience, Ukrainian-speaking viewers]
  • A. primaryTarget
    Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
  • B. primaryUsersOf
    Indicates that the subject is the main or most frequent user(s) of the object.
  • C. secondaryAudience
    Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
  • D. typicalAudience chosen
    Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
  • E. primaryTargetType
    Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
  • 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_69efb5216c6881908020dce4aea65381 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_6a0019b0e9fc81909494320f05e81742 completed May 10, 2026, 5:37 a.m.
PD Predicate disambiguation batch_6a00193379e0819096d1985686ce10e3 completed May 10, 2026, 5:35 a.m.
Created at: April 27, 2026, 11:14 p.m.