Triple

T15816535
Position Surface form Disambiguated ID Type / Status
Subject Dashoguz International Airport E383492 entity
Predicate hasICAOCode P419 FINISHED
Object UTAT
UTAT is the ICAO airport code for Dashoguz International Airport in Turkmenistan.
E1178405 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: UTAT | Statement: [Dashoguz International Airport, hasICAOCode, UTAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UTAT
Context triple: [Dashoguz International Airport, hasICAOCode, UTAT]
  • A. UTAK
    UTAK is the ICAO airport code for Balkanabat Airport in Turkmenistan.
  • B. UTU
    UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
  • C. UTS
    UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
  • D. UTS
    UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
  • E. UTS
    UTS is a highly selective independent secondary school affiliated with the University of Toronto, known for its strong academic programs and gifted education.
  • 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: UTAT
Triple: [Dashoguz International Airport, hasICAOCode, UTAT]
Generated description
UTAT is the ICAO airport code for Dashoguz International Airport in Turkmenistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UTAT
Target entity description: UTAT is the ICAO airport code for Dashoguz International Airport in Turkmenistan.
  • A. UTAK
    UTAK is the ICAO airport code for Balkanabat Airport in Turkmenistan.
  • B. UTU
    UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
  • C. UTS
    UTS is the station code used to identify Utsunomiya Station in Japan’s railway system.
  • D. UTS
    UTS is a highly selective independent secondary school affiliated with the University of Toronto, known for its strong academic programs and gifted education.
  • E. UTS
    UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a306a48190840adc49df2c26c5 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9ad6b29081909ff2abb2c4d866a4 completed May 9, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b443280819088dbf18f7c57406b completed May 9, 2026, 8:38 p.m.
Created at: April 10, 2026, 4:49 a.m.