Triple

T31223860
Position Surface form Disambiguated ID Type / Status
Subject Global Britain E796085 entity
Predicate aimsToProject P69992 FINISHED
Object United Kingdom as an active global power 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 Kingdom as an active global power | Statement: [Global Britain, aimsToProject, United Kingdom as an active global power]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: aimsToProject
Context triple: [Global Britain, aimsToProject, United Kingdom as an active global power]
  • A. aimOf
    Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
  • B. intendedProject
    Indicates that an entity is the planned or targeted project associated with another entity (such as a person, organization, or activity).
  • C. aimsToDevelop
    Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
  • D. aimsToModel
    Indicates that one entity is intended or designed to represent, simulate, or approximate the behavior, structure, or properties of another entity.
  • E. aimedAtBy chosen
    Indicates that one entity serves as the target or goal toward which another entity directs an action, intention, or focus.
  • 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_69f224da98f88190ab32f690cce5d303 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69c4f35148190b58e80e79215092d completed May 3, 2026, 12:52 a.m.
PD Predicate disambiguation batch_69f696673214819094350e1d2648ef34 completed May 3, 2026, 12:27 a.m.
Created at: April 29, 2026, 9:10 p.m.