Triple

T32768974
Position Surface form Disambiguated ID Type / Status
Subject Russia–Kazakhstan lease agreement E837981 entity
Predicate lessee P10974 FINISHED
Object Russian Federation NE NERFINISHED

How this triple was built (2 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: [Russia–Kazakhstan lease agreement, lessee, Russian Federation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lessee
Context triple: [Russia–Kazakhstan lease agreement, lessee, Russian Federation]
  • A. leaseRecipient chosen
    Indicates the party that receives or holds rights to use a property or asset under a lease agreement from another party.
  • B. alsoTenant
    Indicates that two or more entities share the status of being tenants, typically occupying the same property or rental arrangement.
  • C. leaseAgreement
    Indicates a contractual relationship in which one party grants another the right to use an asset or property for a specified period in exchange for agreed payments or conditions.
  • D. retainsForLessors
    Indicates that an entity keeps or holds something (such as rights, documents, or payments) on behalf of lessors, rather than transferring or releasing it.
  • E. anchorTenant
    Indicates that an entity serves as a primary or major tenant whose presence helps attract other tenants or users to a shared space or platform.
  • F. None of above.

Provenance (3 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_69f34939857c8190aa9970c51feec1eb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce6d659881909ddcec1d2966e020 completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:13 a.m.