Triple

T2334665
Position Surface form Disambiguated ID Type / Status
Subject South Ossetia E44281 entity
Predicate hasSecurityGuaranteesFrom P23332 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: [South Ossetia, hasSecurityGuaranteesFrom, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russia
Context triple: [South Ossetia, hasSecurityGuaranteesFrom, 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: hasSecurityGuaranteesFrom
Context triple: [South Ossetia, hasSecurityGuaranteesFrom, Russia]
  • A. hasSecurityRelationship chosen
    Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection of another entity.
  • B. hasSecurityStandard
    Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
  • C. hasSecurityNotion
    Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
  • D. hasSecurityPresence
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • E. hasSecurityConsideration
    Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69af835a10c081909b77315dd83a875b completed March 10, 2026, 2:35 a.m.
PD Predicate disambiguation batch_69abc594087c819098100a10c5478a4b completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:51 p.m.