Triple

T18652575
Position Surface form Disambiguated ID Type / Status
Subject Zhuliany Airport E455977 entity
Predicate hasCode P9567 FINISHED
Object IEV 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: IEV | Statement: [Zhuliany Airport, hasCode, IEV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IEV
Context triple: [Zhuliany Airport, hasCode, IEV]
  • A. IEV chosen
    IEV is the IATA airport code for Kyiv International Airport (Zhuliany), a major airport serving Ukraine’s capital city.
  • B. ELV
    ELV is a launch pad at the Guiana Space Centre in French Guiana used primarily for launching European Vega rockets.
  • C. EIT
    EIT is a telecommunications investment company based in the United Arab Emirates that holds and manages international telecom assets.
  • D. EIT
    EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
  • E. EVB
    EVB (Edge Virtual Bridging) is an IEEE networking standard that defines mechanisms for managing and integrating virtualized network interfaces on edge switches and servers in data center environments.
  • 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.