Triple

T1791040
Position Surface form Disambiguated ID Type / Status
Subject Jomo Kenyatta International Airport E39495 entity
Predicate ICAOcode P419 FINISHED
Object HKJK
HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
 E202190 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: HKJK | Statement: [Jomo Kenyatta International Airport, ICAOcode, HKJK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HKJK
Context triple: [Jomo Kenyatta International Airport, ICAOcode, HKJK]
  • A. HK
    HK is a renowned German defense manufacturer best known for designing and producing small arms such as pistols, rifles, and submachine guns used by military and law enforcement worldwide.
  • B. HK
    HK is the vehicle registration code used for the Czech city of Hradec Králové.
  • C. HK
    HK is the vehicle registration code used on license plates for vehicles registered in Ahlden, a municipality in Lower Saxony, Germany.
  • D. MHK
    MHK is the post-nominal abbreviation used by elected members of the House of Keys, the lower branch of the Isle of Man's parliament.
  • E. HKS
    HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
  • 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: HKJK
Triple: [Jomo Kenyatta International Airport, ICAOcode, HKJK]
Generated description
HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HKJK
Target entity description: HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • A. HK
    HK is a renowned German defense manufacturer best known for designing and producing small arms such as pistols, rifles, and submachine guns used by military and law enforcement worldwide.
  • B. HK
    HK is the vehicle registration code used for the Czech city of Hradec Králové.
  • C. HK
    HK is the vehicle registration code used on license plates for vehicles registered in Ahlden, a municipality in Lower Saxony, Germany.
  • D. MHK
    MHK is the post-nominal abbreviation used by elected members of the House of Keys, the lower branch of the Isle of Man's parliament.
  • E. HKS
    HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65392b2c81909bf4d619bd347f54 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5d063d48190aef6796ee3957994 completed March 8, 2026, 5:45 p.m.
NEDg Description generation batch_69adb8b54a5081908b7dba1ff0d1a8da completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9b7a32481908a11686d658a077a completed March 8, 2026, 6:02 p.m.
Created at: March 4, 2026, 7:32 p.m.