Triple

T9530320
Position Surface form Disambiguated ID Type / Status
Subject Gumrak Airport E229873 entity
Predicate IATAcode P418 FINISHED
Object VOG E229868 NE FINISHED

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: VOG | Statement: [Gumrak Airport, IATAcode, VOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOG
Context triple: [Gumrak Airport, IATAcode, VOG]
  • A. VOG chosen
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • B. VOH
    VOH is the vehicle registration code used on license plates for the district of Neustadt an der Waldnaab in Bavaria, Germany.
  • C. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • D. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • E. VOW
    VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1527253588190ac365203ef382a2d completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 8 p.m.