Triple

T3529178
Position Surface form Disambiguated ID Type / Status
Subject Novosibirsk E74615 entity
Predicate hasAirport P105 FINISHED
Object Tolmachevo Airport E212986 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: Tolmachevo Airport | Statement: [Novosibirsk, hasAirport, Tolmachevo Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolmachevo Airport
Context triple: [Novosibirsk, hasAirport, Tolmachevo Airport]
  • A. Tolmachevo Airport chosen
    Tolmachevo Airport is a major international airport in Novosibirsk, Russia, serving as a key air transport hub for Siberia and a primary base for several Russian airlines.
  • B. Kazan International Airport
    Kazan International Airport is the main commercial airport serving the city of Kazan and the surrounding region in Tatarstan, Russia.
  • C. Koltsovo International Airport
    Koltsovo International Airport is a major international airport in Russia serving the city of Yekaterinburg and the Ural region as an important passenger and cargo hub.
  • D. Irkutsk International Airport
    Irkutsk International Airport is a major airport in eastern Siberia serving the city of Irkutsk and acting as a key regional hub for both domestic and international flights.
  • E. Andijan Airport
    Andijan Airport is a regional public airport serving the city of Andijan in eastern Uzbekistan, handling domestic flights and limited international services.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdd2715c81908250bb2925de8e1f completed March 14, 2026, 2:54 a.m.
Created at: March 8, 2026, 3:19 p.m.