Triple

T19598696
Position Surface form Disambiguated ID Type / Status
Subject Cultural Heritage Administration of Korea E470411 entity
Predicate shortName P43 FINISHED
Object CHA
CHA is the abbreviated name for South Korea’s Cultural Heritage Administration, the government body responsible for preserving and managing the nation’s cultural properties.
 E1384930 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: CHA | Statement: [Cultural Heritage Administration of Korea, shortName, CHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CHA
Context triple: [Cultural Heritage Administration of Korea, shortName, CHA]
  • A. CHA
    The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
  • B. CHA
    CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
  • C. CHA
    CHA is the vehicle registration code for the city of Cham in Germany.
  • D. CHA
    CHA is the standard abbreviation used for the Charlottetown Islanders, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League based in Charlottetown, Prince Edward Island.
  • E. CHA
    CHA is the three-letter IATA airport code for Chattanooga Metropolitan Airport in Chattanooga, Tennessee.
  • 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: CHA
Triple: [Cultural Heritage Administration of Korea, shortName, CHA]
Generated description
CHA is the abbreviated name for South Korea’s Cultural Heritage Administration, the government body responsible for preserving and managing the nation’s cultural properties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CHA
Target entity description: CHA is the abbreviated name for South Korea’s Cultural Heritage Administration, the government body responsible for preserving and managing the nation’s cultural properties.
  • A. CHA
    CHA is the vehicle registration code for the city of Cham in Germany.
  • B. CHA
    CHA is the standard abbreviation used for the Chattanooga Lookouts, a Minor League Baseball team based in Chattanooga, Tennessee.
  • C. CHA
    CHA is the standard abbreviation used for the Charlottetown Islanders, a major junior ice hockey team in the Quebec Maritimes Junior Hockey League based in Charlottetown, Prince Edward Island.
  • D. CHA
    CHA is the three-letter IATA airport code for Chattanooga Metropolitan Airport in Chattanooga, Tennessee.
  • E. CHA
    CHA is a collegiate ice hockey conference in the United States that organizes and governs competition among its member schools.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407d46188190b9818665b2a698a5 completed April 20, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1be2d48190a1beec726ea4e410 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fde0d8c8190aefc4a06beda2c79 completed May 15, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_6a076039f7188190add1c65a4a9e32ce completed May 15, 2026, 6:04 p.m.
Created at: April 10, 2026, 1:43 p.m.