Triple

T20870874
Position Surface form Disambiguated ID Type / Status
Subject Shinpūren E513887 entity
Predicate consideredWesternInfluence P142176 FINISHED
Object pollution of Japan 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: pollution of Japan | Statement: [Shinpūren, consideredWesternInfluence, pollution of Japan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consideredWesternInfluence
Context triple: [Shinpūren, consideredWesternInfluence, pollution of Japan]
  • A. hasDiasporaInfluenceOn
    Indicates that a diaspora community exerts cultural, social, economic, or political influence on another entity, such as a country, region, or group.
  • B. languageOfInfluence
    Indicates a relationship where one language has influenced the development, usage, or characteristics of another language.
  • C. hasEthnicInfluence
    Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
  • D. placeOfInfluence
    Indicates the location or area where an entity exerts significant impact, authority, or cultural, social, or intellectual influence.
  • E. countryInfluence
    Indicates the degree to which one country affects or shapes the policies, decisions, or conditions within another country or in the international arena.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c4649cf88190b3ad946576aa46aa completed April 21, 2026, 12:27 a.m.
PD Predicate disambiguation batch_69e5c9a593f481908beb457c29f1ce73 completed April 20, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e5d53c4d6881909b4d0a716fa5ed4a completed April 20, 2026, 7:26 a.m.
Created at: April 16, 2026, 12:45 p.m.