Triple

T3368713
Position Surface form Disambiguated ID Type / Status
Subject Kuwait International Airport E70900 entity
Predicate ICAOcode P419 FINISHED
Object OKBK
OKBK is the ICAO airport code for Kuwait International Airport, the main international gateway to Kuwait.
 E353750 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: OKBK | Statement: [Kuwait International Airport, ICAOcode, OKBK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OKBK
Context triple: [Kuwait International Airport, ICAOcode, OKBK]
  • A. OKW
    OKW (Oberkommando der Wehrmacht) was the German Armed Forces High Command during Nazi Germany, overseeing the strategic direction and coordination of the Wehrmacht in World War II.
  • B. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • C. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • D. OK Plus
    OK Plus is the frequent flyer loyalty program of Czech Airlines, offering members mileage accrual and redemption benefits along with elite status tiers and partner rewards.
  • 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: OKBK
Triple: [Kuwait International Airport, ICAOcode, OKBK]
Generated description
OKBK is the ICAO airport code for Kuwait International Airport, the main international gateway to Kuwait.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OKBK
Target entity description: OKBK is the ICAO airport code for Kuwait International Airport, the main international gateway to Kuwait.
  • A. OKW
    OKW (Oberkommando der Wehrmacht) was the German Armed Forces High Command during Nazi Germany, overseeing the strategic direction and coordination of the Wehrmacht in World War II.
  • B. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • C. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • D. OK Plus
    OK Plus is the frequent flyer loyalty program of Czech Airlines, offering members mileage accrual and redemption benefits along with elite status tiers and partner rewards.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb28a813c81909d1c71fe577e6681 completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b334396f588190add5c0c27949650c completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334d1e3348190b231a33058ee08a5 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b33901299481908615762989e45e7c completed March 12, 2026, 10:06 p.m.
Created at: March 8, 2026, 3:13 p.m.