Triple

T15753791
Position Surface form Disambiguated ID Type / Status
Subject Unalaska Airport E381914 entity
Predicate IATAcode P418 FINISHED
Object DUT
DUT is the IATA airport code for Unalaska Airport, which serves the city of Unalaska in Alaska, United States.
 E1175893 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: DUT | Statement: [Unalaska Airport, IATAcode, DUT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DUT
Context triple: [Unalaska Airport, IATAcode, DUT]
  • A. DUT
    DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
  • B. DUCET
    DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
  • C. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • D. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • E. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • 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: DUT
Triple: [Unalaska Airport, IATAcode, DUT]
Generated description
DUT is the IATA airport code for Unalaska Airport, which serves the city of Unalaska in Alaska, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DUT
Target entity description: DUT is the IATA airport code for Unalaska Airport, which serves the city of Unalaska in Alaska, United States.
  • A. DUT
    DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
  • B. DUCET
    DUCET is the Default Unicode Collation Element Table, a standard reference used to define the sorting and comparison order of Unicode characters across different languages and scripts.
  • C. DUS
    DUS is the three-letter IATA code for Düsseldorf Airport, a major international airport in western Germany.
  • D. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • E. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876f005c8190913dec49b839b9f9 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b5fb4708190ab83653817f7b44e completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8c1cc6a081908d09e73b5d219b05 completed May 9, 2026, 7:33 p.m.
Created at: April 10, 2026, 4:47 a.m.