Triple

T6607713
Position Surface form Disambiguated ID Type / Status
Subject Vietnam–US Bilateral Trade Agreement E149158 entity
Predicate impactOnVietnam P72410 FINISHED
Object encouraged legal reforms aligned with international trade norms 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: encouraged legal reforms aligned with international trade norms | Statement: [Vietnam–US Bilateral Trade Agreement, impactOnVietnam, encouraged legal reforms aligned with international trade norms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impactOnVietnam
Context triple: [Vietnam–US Bilateral Trade Agreement, impactOnVietnam, encouraged legal reforms aligned with international trade norms]
  • A. positionOnVietnamWar
    Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
  • B. estimatedNorthVietnameseCasualties
    Indicates the reported or calculated number of casualties attributed to North Vietnamese forces in a given context or event.
  • C. returnToVietnam
    Indicates that an entity goes back to Vietnam after having been away.
  • D. impactOnIran
    Indicates the effect or consequences that an action, event, or policy has on Iran.
  • E. tookPowerInSaigon
    Indicates that an entity assumed or seized political control or authority in Saigon.
  • F. None of above. chosen

Provenance (4 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cf3796d08190a26e988386089447 completed March 27, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69c6acfed25481909cac74c84a9fe088 completed March 27, 2026, 4:14 p.m.
PDg Predicate description generation batch_69c6cf3683d08190b19e2aad30f2800f completed March 27, 2026, 6:40 p.m.
Created at: March 27, 2026, 1:57 p.m.