Triple

T7302605
Position Surface form Disambiguated ID Type / Status
Subject Moi International Airport E167893 entity
Predicate ICAOcode P419 FINISHED
Object HKMO
HKMO is the ICAO airport code for Moi International Airport, a major international airport serving Mombasa, Kenya.
 E654888 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: HKMO | Statement: [Moi International Airport, ICAOcode, HKMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HKMO
Context triple: [Moi International Airport, ICAOcode, HKMO]
  • A. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • B. 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.
  • C. HK
    HK is the vehicle registration code used for the Czech city of Hradec Králové.
  • D. 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.
  • E. HK
    HK is the vehicle registration code used for motor vehicles registered in Heraklion, a major city on the island of Crete in Greece.
  • 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: HKMO
Triple: [Moi International Airport, ICAOcode, HKMO]
Generated description
HKMO is the ICAO airport code for Moi International Airport, a major international airport serving Mombasa, Kenya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HKMO
Target entity description: HKMO is the ICAO airport code for Moi International Airport, a major international airport serving Mombasa, Kenya.
  • A. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • B. 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.
  • C. HK
    HK is the vehicle registration code used for the Czech city of Hradec Králové.
  • D. 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.
  • E. HK
    HK is the vehicle registration code used for motor vehicles registered in Heraklion, a major city on the island of Crete in Greece.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb2261c8190ae9095c8e110b528 completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e558098c819091562566c59332e2 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e6671e2c8190aed42aa673540efa completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e6cd820881909ef8fd3bc28d2716 completed March 28, 2026, 2:33 p.m.
Created at: March 27, 2026, 3:01 p.m.