Triple

T18274184
Position Surface form Disambiguated ID Type / Status
Subject Zenit E437690 entity
Predicate laterUser P131135 FINISHED
Object Russia NE NERFINISHED

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: [Zenit, laterUser, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [Zenit, laterUser, 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. Rusko
    Rusko is a British electronic music producer and DJ known for pioneering the modern dubstep sound.
  • E. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • 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: laterUser
Context triple: [Zenit, laterUser, Russia]
  • A. laterMember
    Indicates that one entity became a member of a group or organization at a later time than another entity.
  • B. user
    Indicates a relationship where an entity actively operates, controls, or interacts with another entity, typically as the primary agent or consumer of its function.
  • C. otherUser
    Indicates that the referenced entity is a different user from the primary or current user in the context.
  • D. formerUser
    Indicates that an entity was previously a user of another entity or system but is no longer one.
  • E. laterStatus
    Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
  • F. None of above. chosen

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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50050d6688190b909a1c24e1dd3c9 completed April 19, 2026, 4:18 p.m.
PD Predicate disambiguation batch_69e44fd81c788190b08c6be3b07a08c5 completed April 19, 2026, 3:45 a.m.
PDg Predicate description generation batch_69e451a0ba208190a5fe92832a8f7a49 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 10:34 a.m.