Triple

T3147884
Position Surface form Disambiguated ID Type / Status
Subject European Broadcasting Union E65805 entity
Predicate membershipIncludes P121 FINISHED
Object ORF
ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
 E331129 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: ORF | Statement: [European Broadcasting Union, membershipIncludes, ORF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ORF
Context triple: [European Broadcasting Union, membershipIncludes, ORF]
  • A. ORC
    ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
  • B. ORAP
    ORAP is the standard legal citation abbreviation for the Oregon Rules of Appellate Procedure, which govern practice in Oregon’s appellate courts.
  • C. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. ORL
    ORL is the standard three-letter abbreviation used for the NBA team Orlando Magic.
  • 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: ORF
Triple: [European Broadcasting Union, membershipIncludes, ORF]
Generated description
ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ORF
Target entity description: ORF is Austria's national public service broadcaster, operating multiple television and radio channels as well as online services.
  • A. ORC
    ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
  • B. ORAP
    ORAP is the standard legal citation abbreviation for the Oregon Rules of Appellate Procedure, which govern practice in Oregon’s appellate courts.
  • C. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • D. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • E. ORL
    ORL is the standard three-letter abbreviation used for the NBA team Orlando Magic.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f53bbc81908416272cd48af69e completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225896c4c81909e875a2d357e7bc5 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225fef06081908dcd8201def1ad95 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.