Triple

T12827401
Position Surface form Disambiguated ID Type / Status
Subject Japan–United States relations E306690 entity
Predicate securityAllianceSince P10771 FINISHED
Object 1960 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: 1960 | Statement: [Japan–United States relations, securityAllianceSince, 1960]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityAllianceSince
Context triple: [Japan–United States relations, securityAllianceSince, 1960]
  • A. securityAlliance chosen
    Indicates a formal cooperative relationship in which entities agree to support and protect each other’s security interests, often including mutual defense or coordinated security measures.
  • B. securityGuarantee
    Indicates a commitment by one party to protect or defend another party against specified threats or risks.
  • C. securedAgainst
    Indicates that one entity is protected or safeguarded against threats, risks, or harmful actions originating from another entity or source.
  • D. securityAspect
    Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
  • E. securityArrangementsBy
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69d96fa08cd481909a946046ba63809f completed April 10, 2026, 9:46 p.m.
Created at: April 9, 2026, 5:33 p.m.