Triple

T14739434
Position Surface form Disambiguated ID Type / Status
Subject African Express Airways E346302 entity
Predicate IATACode P418 FINISHED
Object XU
XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
 E1118073 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: XU | Statement: [African Express Airways, IATACode, XU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XU
Context triple: [African Express Airways, IATACode, XU]
  • A. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • B. XUZ
    XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
  • C. Xu
    Xu is a common Chinese surname with historical roots and many notable bearers across Chinese history and culture.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. xun
    The xun is an ancient Chinese globular ocarina-like wind instrument, traditionally made of clay or ceramic and known for its soft, haunting tone.
  • 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: XU
Triple: [African Express Airways, IATACode, XU]
Generated description
XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XU
Target entity description: XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • A. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • B. XUZ
    XUZ is the IATA airport code for Xuzhou Guanyin International Airport, a commercial airport serving the city of Xuzhou in Jiangsu Province, China.
  • C. Xu
    Xu is a common Chinese surname with historical roots and many notable bearers across Chinese history and culture.
  • D. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • E. xun
    The xun is an ancient Chinese globular ocarina-like wind instrument, traditionally made of clay or ceramic and known for its soft, haunting tone.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb91fdf88190bdcc9a93289f6b7f completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe032bd640819081f4ea36a1503c21 completed May 8, 2026, 3:37 p.m.
NED2 Entity disambiguation (via description) batch_69fe04120db08190aa903ccc6ddd2267 completed May 8, 2026, 3:41 p.m.
Created at: April 10, 2026, 1:29 a.m.