Triple

T19411704
Position Surface form Disambiguated ID Type / Status
Subject Korea National University of Arts E485602 entity
Predicate shortName P43 FINISHED
Object K-ARTS
K-ARTS is a leading South Korean national university dedicated to higher education and professional training in the arts, including music, theater, film, dance, and visual arts.
 E1374161 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: K-ARTS | Statement: [Korea National University of Arts, shortName, K-ARTS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K-ARTS
Context triple: [Korea National University of Arts, shortName, K-ARTS]
  • A. KIKK
    KIKK is the ICAO airport code for Greater Kankakee Airport, a public-use airport serving the Kankakee, Illinois area.
  • B. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • C. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • D. KOK
    KOK is the vehicle registration code assigned to the Finnish town of Kokemäki.
  • E. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • 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: K-ARTS
Triple: [Korea National University of Arts, shortName, K-ARTS]
Generated description
K-ARTS is a leading South Korean national university dedicated to higher education and professional training in the arts, including music, theater, film, dance, and visual arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K-ARTS
Target entity description: K-ARTS is a leading South Korean national university dedicated to higher education and professional training in the arts, including music, theater, film, dance, and visual arts.
  • A. KIKK
    KIKK is the ICAO airport code for Greater Kankakee Airport, a public-use airport serving the Kankakee, Illinois area.
  • B. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • C. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • D. KOK
    KOK is the vehicle registration code assigned to the Finnish town of Kokemäki.
  • E. KAN
    KAN is the IATA airport code for Mallam Aminu Kano International Airport, a major airport serving Kano in northern Nigeria.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af681288190ba2ec52d5adb6a22 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b996ebc81908fe7c4ff930896ba completed May 15, 2026, 2:20 p.m.
NEDg Description generation batch_6a072eb2d5b08190a0cafb1427cfd16d completed May 15, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_6a072f6caef48190acb52960ebde9ace completed May 15, 2026, 2:36 p.m.
Created at: April 10, 2026, 1:37 p.m.