Triple

T7223649
Position Surface form Disambiguated ID Type / Status
Subject N'Ko script E150322 entity
Predicate unicodeBlockName P1445 FINISHED
Object NKo
NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
 E649608 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: NKo | Statement: [N'Ko script, unicodeBlockName, NKo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NKo
Context triple: [N'Ko script, unicodeBlockName, NKo]
  • A. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • B. NG-KO
    NG-KO is the ISO 3166-2 code that uniquely identifies Kogi State within Nigeria.
  • C. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • D. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • E. 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.
  • 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: NKo
Triple: [N'Ko script, unicodeBlockName, NKo]
Generated description
NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NKo
Target entity description: NKo is a Unicode block that encodes the characters of the N’Ko script used for writing several West African Mande languages.
  • A. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • B. NG-KO
    NG-KO is the ISO 3166-2 code that uniquely identifies Kogi State within Nigeria.
  • C. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • D. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • E. 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.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b54a5c8190a4a289f32853a8fe completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc0c3ff08190b855fa57967586ce completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7cc93801081908c9617bc0f768bd3 completed March 28, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69c7cd337e14819089af22ff14a8dcf4 completed March 28, 2026, 12:44 p.m.
Created at: March 27, 2026, 2:54 p.m.