Triple

T25283612
Position Surface form Disambiguated ID Type / Status
Subject Chiang Mai Initiative Multilateralisation E633878 entity
Predicate hasMainContributor P30146 FINISHED
Object Japan NE NERFINISHED

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: Japan | Statement: [Chiang Mai Initiative Multilateralisation, hasMainContributor, Japan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainContributor
Context triple: [Chiang Mai Initiative Multilateralisation, hasMainContributor, Japan]
  • A. hasContributionFrom chosen
    Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
  • B. hasPrimaryMaintainer
    Indicates that one entity is the main person or organization responsible for maintaining or overseeing another entity.
  • C. isAmongTopContributorsTo
    Indicates that an entity ranks within the leading group of contributors to another entity, based on the level or impact of its contributions.
  • D. hasMainProponent
    Indicates that one entity is the primary advocate, champion, or leading supporter of another entity.
  • E. hasContributorRoleOfAuthor
    Indicates that an entity participates as a contributor specifically in the role of an author in relation to another entity.
  • 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_69e75a9402fc81909362ca85277c06d9 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
Created at: April 21, 2026, 1:19 p.m.