Triple

T18749398
Position Surface form Disambiguated ID Type / Status
Subject Kannur International Airport E458487 entity
Predicate ICAOcode P419 FINISHED
Object VOKN
VOKN is the ICAO airport code assigned to Kannur International Airport in Kerala, India.
E1342235 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: VOKN | Statement: [Kannur International Airport, ICAOcode, VOKN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOKN
Context triple: [Kannur International Airport, ICAOcode, VOKN]
  • A. VNK
    VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
  • B. VOBZ
    VOBZ is the ICAO airport code assigned to Vijayawada Airport in Andhra Pradesh, India.
  • C. VOCB
    VOCB is the ICAO airport code for Coimbatore International Airport in Coimbatore, Tamil Nadu, India.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. Voq
    Voq is a Klingon albino outcast and religious zealot from Star Trek: Discovery who undergoes radical surgery and memory alteration to become the human Starfleet officer known as Ash Tyler.
  • 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: VOKN
Triple: [Kannur International Airport, ICAOcode, VOKN]
Generated description
VOKN is the ICAO airport code assigned to Kannur International Airport in Kerala, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VOKN
Target entity description: VOKN is the ICAO airport code assigned to Kannur International Airport in Kerala, India.
  • A. VNK
    VNK is the abbreviation for the Prime Minister’s Office of Finland, which supports the government and coordinates its activities.
  • B. VOBZ
    VOBZ is the ICAO airport code assigned to Vijayawada Airport in Andhra Pradesh, India.
  • C. VOCB
    VOCB is the ICAO airport code for Coimbatore International Airport in Coimbatore, Tamil Nadu, India.
  • D. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • E. Voq
    Voq is a Klingon albino outcast and religious zealot from Star Trek: Discovery who undergoes radical surgery and memory alteration to become the human Starfleet officer known as Ash Tyler.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579eb7350819099d7291207781116 completed April 20, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d350fbc81909969b6fa502af370 completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a05414a5b6c81908da562c6322e000d completed May 14, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_6a054217f8cc8190810d9f99ee6a5f9c completed May 14, 2026, 3:31 a.m.
Created at: April 10, 2026, 11:51 a.m.