Triple

T12525356
Position Surface form Disambiguated ID Type / Status
Subject Aktobe International Airport E299422 entity
Predicate ICAOcode P419 FINISHED
Object UATT
UATT is the ICAO airport code assigned to Aktobe International Airport in Kazakhstan.
E988236 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: UATT | Statement: [Aktobe International Airport, ICAOcode, UATT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UATT
Context triple: [Aktobe International Airport, ICAOcode, UATT]
  • A. UNTAC
    UNTAC (United Nations Transitional Authority in Cambodia) was a UN peacekeeping mission that administered Cambodia in the early 1990s to implement a political settlement, oversee a ceasefire, repatriate refugees, and organize free elections after years of conflict.
  • B. UTU
    UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
  • C. TASUED
    TASUED is a specialized Nigerian university focused on training professional educators and advancing research in education.
  • D. UNT
    UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
  • E. AU-TAS
    AU-TAS is the ISO 3166-2 code representing the Australian state of Tasmania.
  • 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: UATT
Triple: [Aktobe International Airport, ICAOcode, UATT]
Generated description
UATT is the ICAO airport code assigned to Aktobe International Airport in Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UATT
Target entity description: UATT is the ICAO airport code assigned to Aktobe International Airport in Kazakhstan.
  • A. UNTAC
    UNTAC (United Nations Transitional Authority in Cambodia) was a UN peacekeeping mission that administered Cambodia in the early 1990s to implement a political settlement, oversee a ceasefire, repatriate refugees, and organize free elections after years of conflict.
  • B. UTU
    UTU is the commonly used abbreviation for the University of Turku, a major multidisciplinary university in Turku, Finland.
  • C. TASUED
    TASUED is a specialized Nigerian university focused on training professional educators and advancing research in education.
  • D. UNT
    UNT is the commonly used acronym for the National University of Trujillo, a public higher education institution in Trujillo, Peru.
  • E. AU-TAS
    AU-TAS is the ISO 3166-2 code representing the Australian state of Tasmania.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc393808190add527030a928517 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c535c9881908e5bf07d13fa73c5 completed May 2, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f6508afef08190ac7a19b1ee90141e completed May 2, 2026, 7:29 p.m.
Created at: April 8, 2026, 9:57 p.m.