Triple

T8463330
Position Surface form Disambiguated ID Type / Status
Subject Dnipro International Airport E200097 entity
Predicate hasICAOcode P419 FINISHED
Object UKDD
UKDD is the ICAO airport code assigned to Dnipro International Airport in Ukraine.
 E736049 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: UKDD | Statement: [Dnipro International Airport, hasICAOcode, UKDD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UKDD
Context triple: [Dnipro International Airport, hasICAOcode, UKDD]
  • A. KDDC
    KDDC is the ICAO airport code for Dodge City Regional Airport, a public airport serving Dodge City, Kansas.
  • B. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • C. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • D. UKB
    UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • E. KDD
    KDD is the commonly used abbreviation for Norway’s Ministry of Local Government and Regional Development, a government body responsible for municipal affairs, regional policy, and housing.
  • 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: UKDD
Triple: [Dnipro International Airport, hasICAOcode, UKDD]
Generated description
UKDD is the ICAO airport code assigned to Dnipro International Airport in Ukraine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UKDD
Target entity description: UKDD is the ICAO airport code assigned to Dnipro International Airport in Ukraine.
  • A. KDDC
    KDDC is the ICAO airport code for Dodge City Regional Airport, a public airport serving Dodge City, Kansas.
  • B. KUD
    KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
  • C. UKB
    UKB is the IATA airport code for Kobe Airport, a regional airport serving the city of Kobe in Japan.
  • D. UKB
    UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • E. KDD
    KDD is the commonly used abbreviation for Norway’s Ministry of Local Government and Regional Development, a government body responsible for municipal affairs, regional policy, and housing.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4a39bd48190b72be7e03cff323b completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39d5f50081908e273d5286a0d397 completed April 2, 2026, 9:41 a.m.
NEDg Description generation batch_69ce3bf7d2748190ad7ca0649fe2cb0f completed April 2, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c8aac8c8190a81c2c51cd0c06e0 completed April 2, 2026, 9:53 a.m.
Created at: March 30, 2026, 6:10 p.m.