Triple

T9530174
Position Surface form Disambiguated ID Type / Status
Subject Volgograd International Airport E229868 entity
Predicate hasICAOcode P419 FINISHED
Object URWW E229869 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: URWW | Statement: [Volgograd International Airport, hasICAOcode, URWW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: URWW
Context triple: [Volgograd International Airport, hasICAOcode, URWW]
  • A. URWW chosen
    URWW is the ICAO airport code assigned to Volgograd International Airport in Volgograd, Russia.
  • B. URW
    URW is the stock ticker symbol for Unibail-Rodamco-Westfield, a major European commercial real estate company specializing in shopping centers and mixed-use properties.
  • C. UUWW
    UUWW is the ICAO airport code assigned to Vnukovo International Airport in Moscow, Russia.
  • D. UHWW
    UHWW is the ICAO airport code assigned to Vladivostok International Airport in Russia.
  • E. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • 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_69d14c38a3848190ab3561f70497c9eb completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 8 p.m.