Triple

T15531474
Position Surface form Disambiguated ID Type / Status
Subject Kuwait Airways E370227 entity
Predicate ICAOcode P419 FINISHED
Object KAC
KAC is the ICAO airline designator assigned to Kuwait Airways, the national carrier of Kuwait.
 E680206 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: KAC | Statement: [Kuwait Airways, ICAOcode, KAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KAC
Context triple: [Kuwait Airways, ICAOcode, KAC]
  • A. KAC
    KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
  • B. KCAK
    KCAK is the ICAO airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton regions of Ohio, USA.
  • C. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • D. Kac
    Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
  • E. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • 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: KAC
Triple: [Kuwait Airways, ICAOcode, KAC]
Generated description
KAC is the ICAO airline designator assigned to Kuwait Airways, the national carrier of Kuwait.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KAC
Target entity description: KAC is the ICAO airline designator assigned to Kuwait Airways, the national carrier of Kuwait.
  • A. KAC chosen
    KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
  • B. KCAK
    KCAK is the ICAO airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton regions of Ohio, USA.
  • C. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • D. Kac
    Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
  • E. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • F. None of above.

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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414773548190b3311515f9d957dd completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5e82a48190bb0a10ebc2412129 completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3ea7d5ac81908bd1ee64de39dba7 completed May 9, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff413a68488190a6c8907e36a602dc completed May 9, 2026, 2:14 p.m.
Created at: April 10, 2026, 4:06 a.m.