Triple

T18652539
Position Surface form Disambiguated ID Type / Status
Subject Zhuliany Airport E455977 entity
Predicate hasICAOcode P419 FINISHED
Object UKKK NE NERFINISHED

How this triple was built (2 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: UKKK | Statement: [Zhuliany Airport, hasICAOcode, UKKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UKKK
Context triple: [Zhuliany Airport, hasICAOcode, UKKK]
  • A. UKKK chosen
    UKKK is the ICAO airport code assigned to Kyiv International Airport (Zhuliany) in Kyiv, Ukraine.
  • B. UKK
    UKK is the NUTS statistical region code used by the European Union to designate Southwest England for regional analysis and reporting.
  • C. UKBB
    UKBB is the ICAO airport code designating Boryspil International Airport, the main international gateway serving Kyiv, Ukraine.
  • D. UKKV
    UKKV is the ICAO airport code assigned to Zhytomyr Airport in Ukraine.
  • E. UKB
    UKB is the abbreviation commonly used for University Hospital Bonn, a major academic medical center in Bonn, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5501279d08190aeca36df89fee2b2 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.