Triple

T6757546
Position Surface form Disambiguated ID Type / Status
Subject Katakana E154499 entity
Predicate developedFrom P1245 FINISHED
Object Man’yōgana E198162 NE 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: Man’yōgana | Statement: [Katakana, developedFrom, Man’yōgana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Man’yōgana
Context triple: [Katakana, developedFrom, Man’yōgana]
  • A. Man'yōgana chosen
    Man'yōgana is an ancient Japanese writing system that used Chinese characters phonetically and served as a precursor to the modern hiragana and katakana syllabaries.
  • B. Gonnohyōe
    Gonnohyōe is a Japanese given name most famously borne by Admiral Yamamoto Gonnohyōe, a prominent naval officer and politician of the Meiji and Taishō eras.
  • C. Ōtomo no Tabito
    Ōtomo no Tabito was an early Nara-period Japanese courtier and poet best known for his refined Chinese-style verse and influential role in the development of classical Japanese poetry.
  • D. Kokin Wakashū
    Kokin Wakashū is an early 10th-century imperial anthology of Japanese waka poetry that became a foundational model for classical Japanese literature and poetic aesthetics.
  • E. Gaimu-shō
    Gaimu-shō is Japan’s Ministry of Foreign Affairs, responsible for managing the country’s diplomatic relations and international policies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f76c9c81908c213772a54f1352 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ad568c8190bc82f6149c22273a completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:11 p.m.