Triple

T2248141
Position Surface form Disambiguated ID Type / Status
Subject HK Express E49553 entity
Predicate ICAOcode P419 FINISHED
Object HKE
HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
 E248078 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: HKE | Statement: [HK Express, ICAOcode, HKE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HKE
Context triple: [HK Express, ICAOcode, HKE]
  • 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. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • E. QKE
    QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • 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: HKE
Triple: [HK Express, ICAOcode, HKE]
Generated description
HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HKE
Target entity description: HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • 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. HKJK
    HKJK is the ICAO airport code for Jomo Kenyatta International Airport, the main international gateway serving Nairobi, Kenya.
  • E. QKE
    QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
  • 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_69abc0ed5c38819080b45ea398fb59f2 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1719c481909ec3ff03d2a6f3bd completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bcfd2c481908f69df77f40655e2 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c4d9c04819086e3091bbbf16099 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.