Triple

T7994702
Position Surface form Disambiguated ID Type / Status
Subject Qeshm International Airport E186093 entity
Predicate ICAO code P419 FINISHED
Object OIKQ
OIKQ is the ICAO airport code assigned to Qeshm International Airport in Iran.
E703826 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: OIKQ | Statement: [Qeshm International Airport, ICAO code, OIKQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OIKQ
Context triple: [Qeshm International Airport, ICAO code, OIKQ]
  • A. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • B. OKS
    OKS is the abbreviation commonly used for the National Olympic Committee of Serbia, the body responsible for organizing the country’s participation in the Olympic Games.
  • C. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • D. EOK
    EOK is the Estonian Olympic Committee, the national body responsible for organizing Estonia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • E. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • 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: OIKQ
Triple: [Qeshm International Airport, ICAO code, OIKQ]
Generated description
OIKQ is the ICAO airport code assigned to Qeshm International Airport in Iran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OIKQ
Target entity description: OIKQ is the ICAO airport code assigned to Qeshm International Airport in Iran.
  • A. QK
    QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
  • B. OKS
    OKS is the abbreviation commonly used for the National Olympic Committee of Serbia, the body responsible for organizing the country’s participation in the Olympic Games.
  • C. KQ
    KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
  • D. EOK
    EOK is the Estonian Olympic Committee, the national body responsible for organizing Estonia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • E. OEK
    OEK is the commonly used abbreviation for the Palau National Congress, the bicameral legislative body of the Republic of Palau.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c73ba388190bcedc29fbdd22f3c completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe105d400819096ba271416bb24e7 completed March 31, 2026, 2:58 p.m.
NEDg Description generation batch_69cbe440a66c8190a5d5b417fb5082b7 completed March 31, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc338a1c48819086ece073e04e8fa6 completed March 31, 2026, 8:50 p.m.
Created at: March 30, 2026, 5:17 p.m.