Triple

T13917922
Position Surface form Disambiguated ID Type / Status
Subject Samarkand International Airport E334669 entity
Predicate ICAOcode P419 FINISHED
Object UTSS
UTSS is the ICAO airport code for Samarkand International Airport in Samarkand, Uzbekistan.
E1069583 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: UTSS | Statement: [Samarkand International Airport, ICAOcode, UTSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTSS
Context triple: [Samarkand International Airport, ICAOcode, UTSS]
  • A. UTS
    UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
  • B. UTS
    UTS is a highly selective independent secondary school affiliated with the University of Toronto, known for its strong academic programs and gifted education.
  • C. UTS
    UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
  • D. USST
    USST is a public research university in Shanghai, China, known for its strong programs in engineering, science, and technology.
  • E. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • 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: UTSS
Triple: [Samarkand International Airport, ICAOcode, UTSS]
Generated description
UTSS is the ICAO airport code for Samarkand International Airport in Samarkand, Uzbekistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UTSS
Target entity description: UTSS is the ICAO airport code for Samarkand International Airport in Samarkand, Uzbekistan.
  • A. UTS
    UTS is a highly selective independent secondary school affiliated with the University of Toronto, known for its strong academic programs and gifted education.
  • B. UTS
    UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
  • C. UTS
    UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
  • D. USST
    USST is a public research university in Shanghai, China, known for its strong programs in engineering, science, and technology.
  • E. TUS
    TUS is the three-letter IATA airport code for Tucson International Airport, the primary commercial airport serving Tucson, Arizona.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de272753e48190bc609482635280ff completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
NEDg Description generation batch_69f9fd5b82f48190b0b89ddca25883cc completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69f9fea0a9dc8190b5b65dfec9626949 completed May 5, 2026, 2:28 p.m.
Created at: April 9, 2026, 10:16 p.m.