Triple

T4603563
Position Surface form Disambiguated ID Type / Status
Subject Russia and China E100375 entity
Predicate strategicCooperation P19448 FINISHED
Object energy 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: energy | Statement: [Russia and China, strategicCooperation, energy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: strategicCooperation
Context triple: [Russia and China, strategicCooperation, energy]
  • A. militaryCooperation
    Indicates a collaborative relationship in which entities coordinate, support, or jointly conduct military activities, operations, or planning.
  • B. cooperationType chosen
    Indicates the specific kind or form of cooperative relationship that exists between the related entities.
  • C. hasCooperationFramework
    Indicates that two or more entities are formally linked by an agreed framework that governs how they cooperate or collaborate with each other.
  • D. cooperationPartner
    Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
  • E. cooperateThrough
    Indicates that entities work together or coordinate their actions by means of a specific intermediary, method, or channel.
  • 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_69bd43cbc014819098b45f435908f88a completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5975ec688190839bd22669343a76 completed March 20, 2026, 2:28 p.m.
PD Predicate disambiguation batch_69bd522c811c81909aae4feadae33174 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:11 p.m.