Triple

T196411
Position Surface form Disambiguated ID Type / Status
Subject Hiragana E3828 entity
Predicate writingSystemOf P454 FINISHED
Object Japanese language E4278 NE FINISHED

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: [Hiragana, writingSystemOf, Japanese language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japanese language
Context triple: [Hiragana, writingSystemOf, Japanese language]
  • A. Japanese chosen
    Japanese is the national language of Japan, a Japonic language known for its complex writing system combining kanji and kana.
  • B. 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.
  • C. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • D. Osaka dialect
    The Osaka dialect is a distinctive variety of Japanese known for its unique intonation, vocabulary, and expressive style, widely associated with the Kansai region’s culture and comedy.
  • E. Hiragana
    Hiragana is a Japanese phonetic syllabary used primarily for native words, grammatical elements, and beginners’ reading and writing.
  • 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: writingSystemOf
Context triple: [Hiragana, writingSystemOf, Japanese language]
  • A. writingSystem chosen
    Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
  • B. isMostWidelyUsedWritingSystem
    Indicates that the subject writing system is used by more people or in more contexts than any other writing system.
  • C. replacedWritingSystem
    Indicates that one writing system has been superseded or taken the place of another as the primary script used for a language or context.
  • D. writtenForm
    Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
  • E. isLanguageOf
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • F. None of above.

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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25983b49c819080f7e161904c53da completed Feb. 28, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69a31c93aa348190a7555a8327f7ad99 completed Feb. 28, 2026, 4:49 p.m.
PD Predicate disambiguation batch_69a25677da14819094cd02868fd30c83 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.