Triple

T5543532
Position Surface form Disambiguated ID Type / Status
Subject Russian Embassy in Berlin E145349 entity
Predicate servesCitizensOf P65294 FINISHED
Object Russian Federation 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: Russian Federation | Statement: [Russian Embassy in Berlin, servesCitizensOf, Russian Federation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russian Federation
Context triple: [Russian Embassy in Berlin, servesCitizensOf, Russian Federation]
  • 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. Rusa
    Rusa is a genus of deer native to South and Southeast Asia, including species such as the Javan rusa and sambar.
  • D. Rusko
    Rusko is a small municipality in southwestern Finland known for its rural character and proximity to the city of Turku.
  • E. Russas
    Russas is a municipality in the northeastern Brazilian state of Ceará, known for its agricultural activities and semi-arid climate.
  • 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: servesCitizensOf
Context triple: [Russian Embassy in Berlin, servesCitizensOf, Russian Federation]
  • A. governmentBodyServed
    Indicates that one entity has served in an official capacity within, or as a member of, a particular government body.
  • B. cityServedType
    Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
  • C. servesLevelOfGovernment
    Indicates that one entity performs duties or functions on behalf of, or under the authority of, a specified level of government (e.g., local, regional, national).
  • D. governmentServed
    Indicates that a person has held a position serving in or working for a particular government.
  • E. servesCapitalCityOf
    Indicates that one entity functions as the capital city for another entity (typically a country, state, or region).
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fc947bc81908d1f7b709392ec20 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b08225f08190ac27f066573b4f28 completed March 23, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69c01b0e72f08190bf705d8fe1639401 completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f051e508190b3886d87b4afdd0b completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:35 p.m.