Triple

T15981432
Position Surface form Disambiguated ID Type / Status
Subject University of Music and Performing Arts Graz E387584 entity
Predicate shortName P43 FINISHED
Object KUG
KUG is the abbreviation for the University of Music and Performing Arts Graz, a renowned Austrian institution specializing in music, theatre, and related performing arts.
 E1188630 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: KUG | Statement: [University of Music and Performing Arts Graz, shortName, KUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KUG
Context triple: [University of Music and Performing Arts Graz, shortName, KUG]
  • A. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • B. kuge
    Kuge were the aristocratic court nobility of premodern Japan, centered around the imperial court in Kyoto and distinct from the later samurai warrior class.
  • C. KAG
    KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
  • D. KEUG
    KEUG is the ICAO airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene, Oregon, in the United States.
  • E. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • 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: KUG
Triple: [University of Music and Performing Arts Graz, shortName, KUG]
Generated description
KUG is the abbreviation for the University of Music and Performing Arts Graz, a renowned Austrian institution specializing in music, theatre, and related performing arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KUG
Target entity description: KUG is the abbreviation for the University of Music and Performing Arts Graz, a renowned Austrian institution specializing in music, theatre, and related performing arts.
  • A. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • B. kuge
    Kuge were the aristocratic court nobility of premodern Japan, centered around the imperial court in Kyoto and distinct from the later samurai warrior class.
  • C. KAG
    KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
  • D. KEUG
    KEUG is the ICAO airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene, Oregon, in the United States.
  • E. KUN
    KUN is the IATA airport code for Kaunas Airport, a commercial international airport serving the city of Kaunas in Lithuania.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15754e8648190a93b73184db089a7 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cb0ed48190b35c19f3961f183b completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5f664148190a1f400c28d31cafe completed May 9, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffc6f9b4f4819092600165241377f6 completed May 9, 2026, 11:44 p.m.
Created at: April 10, 2026, 4:54 a.m.