Triple

T397255
Position Surface form Disambiguated ID Type / Status
Subject Kazakhstan E9209 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
 E50522 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: KZ | Statement: [Kazakhstan, ISO3166-1Alpha2, KZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KZ
Context triple: [Kazakhstan, ISO3166-1Alpha2, KZ]
  • A. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • B. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • C. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • D. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • E. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • 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: KZ
Triple: [Kazakhstan, ISO3166-1Alpha2, KZ]
Generated description
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KZ
Target entity description: KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • A. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • B. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • C. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • D. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • E. KG
    KG is the widely used nickname of Kevin Garnett, a Hall of Fame NBA forward known for his intensity, defensive prowess, and versatility.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a40ad7ebec8190a0a4ee16b20cea57 completed March 1, 2026, 9:46 a.m.
NEDg Description generation batch_69a40cc295e88190b4adb738b0ba8161 completed March 1, 2026, 9:54 a.m.
NED2 Entity disambiguation (via description) batch_69a40d4137c48190a00522b114096bd5 completed March 1, 2026, 9:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.