Triple

T27524044
Position Surface form Disambiguated ID Type / Status
Subject Japan–South Korea E694786 entity
Predicate hasSecurityTie P23332 FINISHED
Object US alliance framework 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: US alliance framework | Statement: [Japan–South Korea, hasSecurityTie, US alliance framework]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecurityTie
Context triple: [Japan–South Korea, hasSecurityTie, US alliance framework]
  • A. hasSecurityRelationship chosen
    Indicates a relationship in which one entity provides, manages, or is otherwise linked to the security or protection of another entity.
  • B. hasSecurityNotion
    Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
  • C. hasSecurityDimension
    Indicates that something possesses or is associated with a particular aspect or dimension of security.
  • D. hasSecurityPresence
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • E. hasSecurityAuthority
    Indicates that one entity possesses the right or power to enforce, manage, or make decisions about security over another entity or resource.
  • 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_69ef538550208190aa9de8e2cb260d93 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69fcdf2394748190b35cead3e208447d completed May 7, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69fcdbe344ec8190a0471911952f4b82 completed May 7, 2026, 6:37 p.m.
Created at: April 27, 2026, 1:22 p.m.