Triple

T579916
Position Surface form Disambiguated ID Type / Status
Subject Yleisradio E15033 entity
Predicate mainRadioChannels P14095 FINISHED
Object YleX
YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
E72609 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: YleX | Statement: [Yleisradio, mainRadioChannels, YleX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YleX
Context triple: [Yleisradio, mainRadioChannels, YleX]
  • A. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • B. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • C. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • D. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • E. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • 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: YleX
Triple: [Yleisradio, mainRadioChannels, YleX]
Generated description
YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YleX
Target entity description: YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
  • A. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • B. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • C. OX
    OX is the postcode area covering Oxford and its surrounding region in Oxfordshire, England.
  • D. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • E. 9X
    9X is the IATA airline designator assigned to Southern Airways Express, a U.S.-based regional commuter airline.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49d2a5f5481908bb9a71ff0f534d4 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a501c1b8448190847197d984f211c3 completed March 2, 2026, 3:19 a.m.
NEDg Description generation batch_69a503b501388190baed19e781c24b4d completed March 2, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69a5077cf14081909478ea1e0fd3eff5 completed March 2, 2026, 3:43 a.m.
Created at: March 1, 2026, 7:33 p.m.