Triple

T15258762
Position Surface form Disambiguated ID Type / Status
Subject Ras Al Khaimah International Airport E364716 entity
Predicate IATAcode P418 FINISHED
Object RKT
RKT is the IATA airport code for Ras Al Khaimah International Airport in the United Arab Emirates.
 E1146965 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: RKT | Statement: [Ras Al Khaimah International Airport, IATAcode, RKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RKT
Context triple: [Ras Al Khaimah International Airport, IATAcode, RKT]
  • A. RKT
    RKT is the stock ticker symbol for Reckitt Benckiser, a multinational consumer goods company known for health, hygiene, and home products.
  • B. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • C. RKP
    RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
  • D. Rakitin
    Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
  • E. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • 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: RKT
Triple: [Ras Al Khaimah International Airport, IATAcode, RKT]
Generated description
RKT is the IATA airport code for Ras Al Khaimah International Airport in the United Arab Emirates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RKT
Target entity description: RKT is the IATA airport code for Ras Al Khaimah International Airport in the United Arab Emirates.
  • A. RKT
    RKT is the stock ticker symbol for Reckitt Benckiser, a multinational consumer goods company known for health, hygiene, and home products.
  • B. RKA
    RKA is the Russian Space Agency that managed Russia’s human spaceflight activities, including operations of the Mir space station.
  • C. RKP
    RKP is the Swedish abbreviation for the Swedish People’s Party of Finland, a liberal-centrist political party representing the Swedish-speaking minority in Finland.
  • D. Rakitin
    Rakitin is a character in Ivan Turgenev’s play "Two Women" (also known as "A Month in the Country"), typically portrayed as an intelligent, observant friend whose unrequited love and ironic detachment highlight the emotional tensions among the main characters.
  • E. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084d11148190919eef8e55569bb9 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f9a0708190bc429692788a63d7 completed May 9, 2026, 7:44 a.m.
NEDg Description generation batch_69fee6b1a29481908c5c945ef801468d completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee7b5e3f0819091246455e239996a completed May 9, 2026, 7:52 a.m.
Created at: April 10, 2026, 3:13 a.m.