Triple

T8623481
Position Surface form Disambiguated ID Type / Status
Subject U6 E204224 entity
Predicate airlinePrimaryHubCity P4364 FINISHED
Object Yekaterinburg E38566 NE FINISHED

How this triple was built (3 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: Yekaterinburg | Statement: [U6, airlinePrimaryHubCity, Yekaterinburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yekaterinburg
Context triple: [U6, airlinePrimaryHubCity, Yekaterinburg]
  • A. Yekaterinburg chosen
    Yekaterinburg is a major industrial and cultural city in Russia’s Ural region, historically known as the site of the execution of the last Russian tsar, Nicholas II, and his family.
  • B. Sverdlovsk
    Sverdlovsk is the former name of Yekaterinburg, a major industrial and cultural city in Russia’s Ural region.
  • C. Novokuznetsk
    Novokuznetsk is a major industrial city in southwestern Siberia, Russia, known for its large metallurgical and coal-mining industries.
  • D. Chelyabinsk
    Chelyabinsk is a large industrial city in west-central Russia, located just east of the Ural Mountains and known as a major regional economic and transportation hub.
  • E. Omsk
    Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airlinePrimaryHubCity
Context triple: [U6, airlinePrimaryHubCity, Yekaterinburg]
  • A. previousPrimaryAirportFor
    Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
  • B. operatorSecondaryHubAirportIATA
    Indicates the IATA airport code of a secondary hub airport used by the operator.
  • C. airlineHub chosen
    Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
  • D. primaryHubAirline
    Indicates that an airline serves as the main or principal hub carrier for a particular airport or location.
  • E. airportServesAs
    Indicates that an airport functions in a particular role or capacity (such as primary, secondary, or hub) for a specified area, organization, or service.
  • F. None of above.

Provenance (4 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f4e2d881908fb539e842c20e8d completed April 3, 2026, 1 p.m.
PD Predicate disambiguation batch_69cc455906f8819082edd79cb4a1cf28 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:26 p.m.