Triple

T4603549
Position Surface form Disambiguated ID Type / Status
Subject Russia and China E100375 entity
Predicate sharesLandBorder P30010 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: [Russia and China, sharesLandBorder, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [Russia and China, sharesLandBorder, 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. 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: sharesLandBorder
Context triple: [Russia and China, sharesLandBorder, Russia]
  • A. shareLandBorderRegion
    Indicates that two regions are adjacent such that their land areas directly touch along a common boundary.
  • B. sharesInternationalBorderWith chosen
    Indicates that two geographic or political entities have a common boundary that is recognized as an international border.
  • C. countryBordering
    Indicates that one country shares a land or maritime boundary directly with another country.
  • D. countryBorderFeatureOf
    Indicates that a geographical feature (such as a river, mountain range, or coastline) serves as or is part of the border of a country.
  • E. memberStatesShareBorderAlong
    Indicates that two member states have a common boundary running along a specified geographic feature or segment.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5975ec688190839bd22669343a76 completed March 20, 2026, 2:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69be39939efc8190a3f49e1315f35782 completed March 21, 2026, 6:24 a.m.
PD Predicate disambiguation batch_69bd522c811c81909aae4feadae33174 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:11 p.m.