Triple

T10209857
Position Surface form Disambiguated ID Type / Status
Subject RTL Group E242297 entity
Predicate ownsRadioStation P14095 FINISHED
Object Fun Radio
Fun Radio is a popular French commercial radio network known for its focus on contemporary hit and dance music.
E849568 NE FINISHED

How this triple was built (4 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: Fun Radio | Statement: [RTL Group, ownsRadioStation, Fun Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fun Radio
Context triple: [RTL Group, ownsRadioStation, Fun Radio]
  • A. Boom Radio
    Boom Radio is a UK-based commercial radio station aimed primarily at baby boomer listeners, featuring a mix of classic hits, personality-led shows, and veteran presenters.
  • B. The Free Radio
    The Free Radio is a short story by Salman Rushdie that explores themes of political manipulation, personal freedom, and disillusionment in post-Emergency India.
  • C. WZND Radio
    WZND Radio is Illinois State University's student-run campus radio station, featuring a variety of music, news, and student-produced programming.
  • D. Free FM
    Free FM was a short-lived talk radio format launched by CBS Radio in the mid-2000s as an edgy, male-oriented alternative to traditional FM programming.
  • E. Radio Sawa
    Radio Sawa is a U.S.-funded Arabic-language radio network that broadcasts news, music, and information to audiences across the Middle East and North Africa.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fun Radio
Triple: [RTL Group, ownsRadioStation, Fun Radio]
Generated description
Fun Radio is a popular French commercial radio network known for its focus on contemporary hit and dance music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fun Radio
Target entity description: Fun Radio is a popular French commercial radio network known for its focus on contemporary hit and dance music.
  • A. Boom Radio
    Boom Radio is a UK-based commercial radio station aimed primarily at baby boomer listeners, featuring a mix of classic hits, personality-led shows, and veteran presenters.
  • B. The Free Radio
    The Free Radio is a short story by Salman Rushdie that explores themes of political manipulation, personal freedom, and disillusionment in post-Emergency India.
  • C. WZND Radio
    WZND Radio is Illinois State University's student-run campus radio station, featuring a variety of music, news, and student-produced programming.
  • D. Free FM
    Free FM was a short-lived talk radio format launched by CBS Radio in the mid-2000s as an edgy, male-oriented alternative to traditional FM programming.
  • E. Radio Sawa
    Radio Sawa is a U.S.-funded Arabic-language radio network that broadcasts news, music, and information to audiences across the Middle East and North Africa.
  • F. None of above. chosen

Provenance (5 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f860048190bb20f7d3bf87f347 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652cca9c081909f705365c70db009 completed April 8, 2026, 1:06 p.m.
NEDg Description generation batch_69d654ddaed88190bcd7f1a2ee9dd462 completed April 8, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69d655338cc08190ba00163f0afa4c3b completed April 8, 2026, 1:16 p.m.
Created at: April 6, 2026, 11 a.m.