Triple

T30034468
Position Surface form Disambiguated ID Type / Status
Subject Philippine–United States relations E763115 entity
Predicate culturalDimensionIncludes P180044 FINISHED
Object migration 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: migration | Statement: [Philippine–United States relations, culturalDimensionIncludes, migration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: culturalDimensionIncludes
Context triple: [Philippine–United States relations, culturalDimensionIncludes, migration]
  • A. hasCulturalDimensionWith
    Indicates that one entity possesses or is associated with a particular cultural dimension in relation to another entity.
  • B. languageAndCultureDimension
    Indicates a relationship where aspects of language are connected to, shaped by, or reflective of broader cultural dimensions or contexts.
  • C. hasCulturalScope
    Indicates that a relationship or action is limited to, relevant within, or characterized by a particular cultural context or domain.
  • D. basedInCulture
    Indicates that an entity is situated within, originates from, or is fundamentally associated with a particular culture.
  • E. isCulturalDistinction
    Indicates that one entity is recognized as a distinguishing cultural feature or marker in comparison to another entity or context.
  • 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_69f2246fb2b88190acff36bf7975c8f0 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
PDg Predicate description generation batch_69f730890a008190a882f7828f1c9162 completed May 3, 2026, 11:24 a.m.
Created at: April 29, 2026, 6:50 p.m.