Triple

T1173880
Position Surface form Disambiguated ID Type / Status
Subject National Institute of Korean Language E24972 entity
Predicate shortName P43 FINISHED
Object NIKL
NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
 E133205 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: NIKL | Statement: [National Institute of Korean Language, shortName, NIKL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NIKL
Context triple: [National Institute of Korean Language, shortName, NIKL]
  • A. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • B. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • C. NOK
    NOK is the official currency code for the Norwegian krone, the national currency of Norway.
  • D. NIP
    NIP is the commonly used acronym for the U.S. National Intelligence Program, which funds and coordinates the nation’s primary intelligence activities across multiple agencies.
  • E. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • 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: NIKL
Triple: [National Institute of Korean Language, shortName, NIKL]
Generated description
NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NIKL
Target entity description: NIKL is the abbreviated name of South Korea’s National Institute of Korean Language, the government body responsible for researching, standardizing, and promoting the Korean language.
  • A. NI
    NI is the vehicle registration code used on license plates for the German federal state of Lower Saxony.
  • B. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • C. NOK
    NOK is the official currency code for the Norwegian krone, the national currency of Norway.
  • D. NIP
    NIP is the commonly used acronym for the U.S. National Intelligence Program, which funds and coordinates the nation’s primary intelligence activities across multiple agencies.
  • E. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcee38c881909c2fc73ba35f7253 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668a135881909b885e2816ee8240 completed March 7, 2026, 5:55 p.m.
NEDg Description generation batch_69ac66fd58308190bb4cb09581d4a8de completed March 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac677e147081909d9f64884c443f82 completed March 7, 2026, 5:59 p.m.
Created at: March 1, 2026, 7:45 p.m.