Triple

T10155340
Position Surface form Disambiguated ID Type / Status
Subject Flynas E232761 entity
Predicate ICAOcode P419 FINISHED
Object KNE
KNE is the ICAO airline designator assigned to Flynas, a Saudi Arabian low-cost carrier.
 E843651 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: KNE | Statement: [Flynas, ICAOcode, KNE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNE
Context triple: [Flynas, ICAOcode, KNE]
  • A. KNE
    KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
  • B. KNEBV
    KNEBV is the stock ticker symbol for KONE Corporation, a Finnish company specializing in elevators, escalators, and related services.
  • 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. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • 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: KNE
Triple: [Flynas, ICAOcode, KNE]
Generated description
KNE is the ICAO airline designator assigned to Flynas, a Saudi Arabian low-cost carrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNE
Target entity description: KNE is the ICAO airline designator assigned to Flynas, a Saudi Arabian low-cost carrier.
  • A. KNE
    KNE is the youth wing of the Communist Party of Greece, organizing and representing young people aligned with communist and leftist ideals in the country.
  • B. KNEBV
    KNEBV is the stock ticker symbol for KONE Corporation, a Finnish company specializing in elevators, escalators, and related services.
  • 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. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3a5e7c819098b2f9ccbde7cf94 completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6541e488190814e6395f219eb12 completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e7408e58819083c43e334a87a09f completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7b854d08190ac2af642970b7f09 completed April 5, 2026, 10:52 p.m.
Created at: March 30, 2026, 9:09 p.m.