Triple

T51121
Position Surface form Disambiguated ID Type / Status
Subject United Nations Security and Safety Service E1002 entity
Predicate followsPolicy P172 FINISHED
Object United Nations security regulations 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: United Nations security regulations | Statement: [United Nations Security and Safety Service, followsPolicy, United Nations security regulations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsPolicy
Context triple: [United Nations Security and Safety Service, followsPolicy, United Nations security regulations]
  • A. supportsPolicy
    Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
  • B. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • C. follows
    Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
  • D. implementedPolicy chosen
    Indicates that a particular policy has been put into effect or carried out by an entity.
  • E. followsRouteOf
    Indicates that one entity travels along the same path or route that another entity takes or has taken.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24ba7016481909d595402712db6e2 completed Feb. 28, 2026, 1:57 a.m.
PD Predicate disambiguation batch_69a24ac23f04819080cef9365ed990d4 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.