Triple

T2243016
Position Surface form Disambiguated ID Type / Status
Subject Koksijde Air Base E49438 entity
Predicate IATA code P2569 FINISHED
Object KJK
KJK is the IATA airport code for Koksijde Air Base in Belgium.
 E246976 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: KJK | Statement: [Koksijde Air Base, IATA code, KJK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KJK
Context triple: [Koksijde Air Base, IATA code, KJK]
  • A. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • B. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • C. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • D. UKK
    UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • 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: KJK
Triple: [Koksijde Air Base, IATA code, KJK]
Generated description
KJK is the IATA airport code for Koksijde Air Base in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KJK
Target entity description: KJK is the IATA airport code for Koksijde Air Base in Belgium.
  • A. SKK
    SKK was the ISO 4217 currency code for the Slovak koruna, the former official currency of Slovakia before adoption of the euro.
  • B. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • C. KZ
    KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
  • D. UKK
    UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0c017548190a71fb4a0e2a8189f completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b10c38c8190af7d6d99f9377df1 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbdef14819084b96389435ca080 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c2cfac48190b0425088e79cd122 completed March 9, 2026, 6:43 a.m.
Created at: March 4, 2026, 7:47 p.m.