Triple

T2559642
Position Surface form Disambiguated ID Type / Status
Subject NATO–Russia relations E57210 entity
Predicate trendSince2022 P5318 FINISHED
Object open hostility and near-complete breakdown of cooperation 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: open hostility and near-complete breakdown of cooperation | Statement: [NATO–Russia relations, trendSince2022, open hostility and near-complete breakdown of cooperation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trendSince2022
Context triple: [NATO–Russia relations, trendSince2022, open hostility and near-complete breakdown of cooperation]
  • A. trends
    Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
  • B. hasTrend chosen
    Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
  • C. designTrend
    Indicates a prevailing or emerging stylistic direction or pattern that influences how something is designed over a period of time.
  • D. technologyTrend
    Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
  • E. socialPhenomenon
    Indicates a relationship where an event, behavior, or pattern emerges from and affects interactions within a society or group.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35c6ee88190b6eaa1841d3e99a4 completed March 7, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69abd0caeb488190b0dd8e48d0f2777d completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.