Triple

T19376596
Position Surface form Disambiguated ID Type / Status
Subject E484683 entity
Predicate gradeLevelInJapan P135701 FINISHED
Object Jōyō kanji NE NERFINISHED

How this triple was built (4 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: Jōyō kanji | Statement: [河, gradeLevelInJapan, Jōyō kanji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jōyō kanji
Context triple: [河, gradeLevelInJapan, Jōyō kanji]
  • A. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • B. Jōyō
    Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
  • C. Hiragana
    Hiragana is a Japanese phonetic syllabary used primarily for native words, grammatical elements, and beginners’ reading and writing.
  • D. Katakana
    Katakana is one of the two main Japanese phonetic writing systems, primarily used for foreign words, onomatopoeia, emphasis, and technical or scientific terms.
  • E. Kana Extended-B
    Kana Extended-B is a Unicode block that contains additional Japanese kana characters used for specialized phonetic and historical writing systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jōyō kanji
Target entity description: Jōyō kanji are the set of standard Chinese characters officially designated by the Japanese government as essential for everyday literacy and education.
  • A. Kanji
    Kanji are logographic characters of Chinese origin used in the Japanese writing system alongside hiragana and katakana.
  • B. Jōyō
    Jōyō is a city in Kyoto Prefecture, Japan, known for its residential communities and proximity to both Kyoto and Nara within the broader Kyoto metropolitan area.
  • C. Hiragana
    Hiragana is a Japanese phonetic syllabary used primarily for native words, grammatical elements, and beginners’ reading and writing.
  • D. Katakana
    Katakana is one of the two main Japanese phonetic writing systems, primarily used for foreign words, onomatopoeia, emphasis, and technical or scientific terms.
  • E. Kana Extended-B
    Kana Extended-B is a Unicode block that contains additional Japanese kana characters used for specialized phonetic and historical writing systems.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gradeLevelInJapan
Context triple: [河, gradeLevelInJapan, Jōyō kanji]
  • A. ratingJapan
    Indicates that an entity assigns or holds a rating specifically related to Japan (e.g., its products, services, or overall experience).
  • B. eraNumberInJapan
    Indicates the specific numbered position of a historical era within the sequence of Japanese eras.
  • C. rankInJapaneseOrders
    Indicates the position or level an entity holds within the hierarchy of Japanese orders, decorations, or honors.
  • D. hasSubschoolsInJapan
    Indicates that an entity (such as a school or organization) has subordinate branches or subschools located within Japan.
  • E. japaneseOnReading
    Indicates the on-yomi (Sino-Japanese) pronunciation associated with a given Japanese kanji or term.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5cfbf48190ac60e3ffa6baa263 completed April 20, 2026, 12:21 p.m.
PD Predicate disambiguation batch_69e4fd54f8e48190956e73dd8969164a completed April 19, 2026, 4:05 p.m.
PDg Predicate description generation batch_69e5004c23308190a087b7941a90725f completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:35 p.m.