Triple

T1829377
Position Surface form Disambiguated ID Type / Status
Subject European Peace Facility for military operations E40725 entity
Predicate beneficiariesInclude P7910 FINISHED
Object third countries LITERAL FINISHED

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: third countries | Statement: [European Peace Facility for military operations, beneficiariesInclude, third countries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: beneficiariesInclude
Context triple: [European Peace Facility for military operations, beneficiariesInclude, third countries]
  • A. beneficiaries chosen
    Indicates that certain entities receive advantages, profits, or positive outcomes from an action, event, or arrangement.
  • B. beneficiaryType
    Indicates the type or category of beneficiary that receives or is intended to receive the benefit or outcome of an action or resource.
  • C. primaryBeneficiaries
    Indicates which entities are the main recipients or advantaged parties resulting from a particular action, resource, or arrangement.
  • D. beneficiaryRegion
    Indicates the region that receives the benefit, advantage, or positive impact resulting from an action, resource, or arrangement.
  • E. claimantsInclude
    Indicates that the specified set or group of claimants contains, as members, the entities referenced.
  • 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_69a8864644bc8190b2358ab897194ac1 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb45402688190b9a535b14030c354 completed March 7, 2026, 5:15 a.m.
PD Predicate disambiguation batch_69abafd6a9948190ac2b2743db6f8f69 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:32 p.m.