Triple

T3123201
Position Surface form Disambiguated ID Type / Status
Subject Kogi State E65233 entity
Predicate ISOCode P208 FINISHED
Object NG-KO
NG-KO is the ISO 3166-2 code that uniquely identifies Kogi State within Nigeria.
 E328640 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: NG-KO | Statement: [Kogi State, ISOCode, NG-KO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NG-KO
Context triple: [Kogi State, ISOCode, NG-KO]
  • A. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • B. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • C. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • D. Ngo
    Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
  • E. NG-OY
    NG-OY is the ISO 3166-2 code that uniquely identifies Oyo State, a federated state in southwestern 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: NG-KO
Triple: [Kogi State, ISOCode, NG-KO]
Generated description
NG-KO is the ISO 3166-2 code that uniquely identifies Kogi State within Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NG-KO
Target entity description: NG-KO is the ISO 3166-2 code that uniquely identifies Kogi State within Nigeria.
  • A. NKGB
    NKGB was a Soviet state security and intelligence agency that operated before the formation of the KGB, handling internal security, counterintelligence, and secret police functions.
  • B. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • C. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • D. Ngo
    Ngo is a Vietnamese surname most prominently associated with figures such as former South Vietnamese president Ngo Dinh Diem.
  • E. NG-OY
    NG-OY is the ISO 3166-2 code that uniquely identifies Oyo State, a federated state in southwestern 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52c105c8190b8128e66d9b9e8a0 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f72c2048190ab2aa40a109f5976 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b21083db7081908f8bc4240fc2b08b completed March 12, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_69b210fa8a7c8190ae4527161aa3af54 completed March 12, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:04 p.m.