Triple

T18749404
Position Surface form Disambiguated ID Type / Status
Subject Kannur International Airport E458487 entity
Predicate abbreviation P43 FINISHED
Object KIAL
KIAL is the commonly used abbreviation for Kannur International Airport, a major international airport serving the Kannur region in the Indian state of Kerala.
E1342236 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: KIAL | Statement: [Kannur International Airport, abbreviation, KIAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIAL
Context triple: [Kannur International Airport, abbreviation, KIAL]
  • A. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • B. KAIK
    KAIK is the ICAO airport code for Aiken Regional Airport, a public airport serving Aiken, South Carolina, USA.
  • C. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • D. KILM
    KILM is the ICAO airport code for Wilmington International Airport, a public airport serving Wilmington, North Carolina.
  • E. KISHAIR
    KISHAIR is the radio callsign used by Kish Air, an Iranian airline operating domestic and regional passenger services.
  • 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: KIAL
Triple: [Kannur International Airport, abbreviation, KIAL]
Generated description
KIAL is the commonly used abbreviation for Kannur International Airport, a major international airport serving the Kannur region in the Indian state of Kerala.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KIAL
Target entity description: KIAL is the commonly used abbreviation for Kannur International Airport, a major international airport serving the Kannur region in the Indian state of Kerala.
  • A. KAIA
    KAIA is a major international airport in Jeddah, Saudi Arabia, serving as a key gateway for pilgrims traveling to the holy cities of Mecca and Medina.
  • B. KAIK
    KAIK is the ICAO airport code for Aiken Regional Airport, a public airport serving Aiken, South Carolina, USA.
  • C. KIJ
    KIJ is the three-letter IATA airport code for Niigata Airport in Niigata, Japan.
  • D. KILM
    KILM is the ICAO airport code for Wilmington International Airport, a public airport serving Wilmington, North Carolina.
  • E. KISHAIR
    KISHAIR is the radio callsign used by Kish Air, an Iranian airline operating domestic and regional passenger services.
  • 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.