Triple

T12192112
Position Surface form Disambiguated ID Type / Status
Subject Zabivaka E290487 entity
Predicate associatedWithEventHost P104236 FINISHED
Object Russia E10011 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: Russia | Statement: [Zabivaka, associatedWithEventHost, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [Zabivaka, associatedWithEventHost, Russia]
  • A. Russia chosen
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • B. ROSSIYA
    ROSSIYA is the radio callsign used by Rossiya Airlines, a major Russian carrier based in Saint Petersburg.
  • C. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • D. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • E. Rusguniae
    Rusguniae was an important ancient coastal city in the Roman province of Mauretania Caesariensis, located in what is now northern Algeria.
  • 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: associatedWithEventHost
Context triple: [Zabivaka, associatedWithEventHost, Russia]
  • A. associatedWithCorporateEvent
    Indicates that an entity has a connection or involvement with a specific corporate event.
  • B. alsoHostedEventType
    Indicates that the same host was responsible for organizing or holding another event of a specified type.
  • C. associatedWithConference
    Indicates that an entity has a connection or involvement with a specific conference, such as participation, organization, or affiliation.
  • D. hostsEvent
    Indicates that an entity organizes and provides the venue or setting for an event to take place.
  • E. connectsToEventVenue
    Indicates that one entity serves as a link or route providing access or connection to an event venue.
  • F. None of above. chosen

Provenance (5 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a66711481909fe0b0d3b2934601 completed May 2, 2026, 2:29 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d938ca32908190bd56f563efcbe8a0 completed April 10, 2026, 5:52 p.m.
Created at: April 8, 2026, 9:50 p.m.