Triple

T21605532
Position Surface form Disambiguated ID Type / Status
Subject Miyako language E533159 entity
Predicate underInfluenceFrom P126359 FINISHED
Object Japanese language NE NERFINISHED

How this triple was built (3 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: Japanese language | Statement: [Miyako language, underInfluenceFrom, Japanese language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japanese language
Context triple: [Miyako language, underInfluenceFrom, Japanese language]
  • A. The Japanese Language
    The Japanese Language is a comprehensive scholarly work by linguist Roy Andrew Miller that examines the history, structure, and classification of the Japanese language within East Asian linguistics.
  • B. Japanese chosen
    Japanese is the national language of Japan, a Japonic language known for its complex writing system combining kanji and kana.
  • C. Yapese
    Yapese is an Austronesian language spoken primarily on the island of Yap and nearby islands in the western Pacific.
  • D. JPN
    JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
  • E. Japonic languages
    The Japonic languages are a small language family that includes Japanese and the Ryukyuan languages, spoken primarily in Japan and the Ryukyu Islands of East Asia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underInfluenceFrom
Context triple: [Miyako language, underInfluenceFrom, Japanese language]
  • A. isUnderInfluenceOf chosen
    Indicates that one entity is affected, controlled, or significantly shaped by the power, authority, or effect of another entity.
  • B. wereInfluencedBy
    Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
  • C. hasLoanInfluenceFrom
    Indicates that one entity’s loan terms, availability, or conditions are affected or shaped by another entity.
  • D. influencedPerson
    Indicates that one entity has affected, shaped, or guided the thoughts, behavior, or development of another person.
  • E. influentialFrom
    Indicates that one entity has exerted influence on another, contributing to or shaping the latter’s ideas, behavior, or development.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e4a8088190bf51ab2af2369762 completed April 27, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69e69665fe8c8190af7e38785db188b2 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:33 p.m.