Triple

T1339148
Position Surface form Disambiguated ID Type / Status
Subject UEFA Europa League E28423 entity
Predicate broadcasters P833 FINISHED
Object various national and international TV networks 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: various national and international TV networks | Statement: [UEFA Europa League, broadcasters, various national and international TV networks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: broadcasters
Context triple: [UEFA Europa League, broadcasters, various national and international TV networks]
  • A. broadcastNetwork chosen
    Indicates that one entity serves as the television or radio network that broadcasts the programming or content of another entity.
  • B. notableBroadcaster
    Indicates that the subject is a broadcaster who is particularly prominent, influential, or widely recognized.
  • C. broadcasterType
    Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
  • D. broadcastNetworkTypical
    Indicates that a given broadcast network is the one typically or commonly associated with airing the specified content or program.
  • E. broadcastProgram
    Indicates that a media outlet or channel transmits a specific program to an audience via a broadcast medium.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c21303c881908fef0b32831222fe completed March 1, 2026, 10:47 p.m.
PD Predicate disambiguation batch_69a4bef174708190a07bbc697fe19a2d completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:56 p.m.