Triple

T1548562
Position Surface form Disambiguated ID Type / Status
Subject Czech Airlines E33033 entity
Predicate hasFrequentFlyerProgram P13481 FINISHED
Object 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.
E175856 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: OK Plus | Statement: [Czech Airlines, hasFrequentFlyerProgram, OK Plus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OK Plus
Context triple: [Czech Airlines, hasFrequentFlyerProgram, OK Plus]
  • A. OK
    OK is the official two-letter United States Postal Service abbreviation for the state of Oklahoma.
  • B. 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.
  • C. 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.
  • D. NOK
    NOK is the official currency code for the Norwegian krone, the national currency of Norway.
  • E. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • 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: OK Plus
Triple: [Czech Airlines, hasFrequentFlyerProgram, OK Plus]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OK Plus
Target entity description: 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.
  • A. OK
    OK is the official two-letter United States Postal Service abbreviation for the state of Oklahoma.
  • B. 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.
  • C. 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.
  • D. NOK
    NOK is the official currency code for the Norwegian krone, the national currency of Norway.
  • E. Nokki
    Nokki is one of the four snow owl mascots created to represent the 1998 Winter Olympics held in Nagano, Japan.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90856642c81909d88a679eb265b10 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a073bc8190a269cb036775dfe4 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad31185d6c8190b833943c412d3f96 completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad31d1f9648190b9da156484062608 completed March 8, 2026, 8:22 a.m.
Created at: March 4, 2026, 7:26 p.m.