Triple

T13088304
Position Surface form Disambiguated ID Type / Status
Subject Air Koryo E310393 entity
Predicate ICAOCode P419 FINISHED
Object KOR
KOR is the ICAO airline designator assigned to Air Koryo, the state-owned national carrier of North Korea.
E1021243 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: KOR | Statement: [Air Koryo, ICAOCode, KOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KOR
Context triple: [Air Koryo, ICAOCode, KOR]
  • A. KOR
    KOR is the FIFA country code representing the South Korea national football team in international competitions.
  • B. Kor
    Kor is a prominent Klingon warrior and commander from the Star Trek franchise, known as one of the earliest and most iconic Klingon characters in the series.
  • C. KORL
    KORL is the ICAO airport code for Orlando Executive Airport, a public airport serving the Orlando, Florida area.
  • D. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • E. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • 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: KOR
Triple: [Air Koryo, ICAOCode, KOR]
Generated description
KOR is the ICAO airline designator assigned to Air Koryo, the state-owned national carrier of North Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KOR
Target entity description: KOR is the ICAO airline designator assigned to Air Koryo, the state-owned national carrier of North Korea.
  • A. KOR
    KOR is the FIFA country code representing the South Korea national football team in international competitions.
  • B. Kor
    Kor is a prominent Klingon warrior and commander from the Star Trek franchise, known as one of the earliest and most iconic Klingon characters in the series.
  • C. KORL
    KORL is the ICAO airport code for Orlando Executive Airport, a public airport serving the Orlando, Florida area.
  • D. KR
    KR is the stock ticker symbol for The Kroger Co., one of the largest supermarket chains in the United States.
  • E. KR
    KR is the vehicle registration code used on license plates for the German city of Krefeld.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981378dd08190b4f00e4e5df0e480 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
NEDg Description generation batch_69f6db8b74e08190919245104ac7ebd9 completed May 3, 2026, 5:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6dc4db1e0819082f1b7e196e7f0c0 completed May 3, 2026, 5:25 a.m.
Created at: April 9, 2026, 9:02 p.m.