Triple

T36714350
Position Surface form Disambiguated ID Type / Status
Subject Central Asia strategy of the United States E906875 entity
Predicate considersExternalActor P4922 FINISHED
Object Russia 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: Russia | Statement: [Central Asia strategy of the United States, considersExternalActor, Russia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: considersExternalActor
Context triple: [Central Asia strategy of the United States, considersExternalActor, Russia]
  • A. involvesExternalActor
    Indicates that the relationship or action includes participation or influence from an entity outside the primary system, organization, or context.
  • B. considersFactor chosen
    Indicates that one entity takes another entity into account as a factor when forming a judgment, decision, or evaluation.
  • C. subjectHasActor
    Indicates that a subject is associated with or possesses a particular actor involved in an action or process.
  • D. isExternalTo
    Indicates that one entity exists or operates outside the boundaries, scope, or domain of another entity.
  • E. hasExternalRelationship
    Indicates that an entity maintains a relationship or connection with another entity that lies outside its own immediate system, organization, or defined boundary.
  • 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_69f76e73ad108190a5241585f2303e9a completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:12 p.m.