Triple

T22011431
Position Surface form Disambiguated ID Type / Status
Subject Chou E543582 entity
Predicate scriptConversionOf P39633 FINISHED
Object Japanese kana ちょう (chō) 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: Japanese kana ちょう (chō) | Statement: [Chou, scriptConversionOf, Japanese kana ちょう (chō)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scriptConversionOf
Context triple: [Chou, scriptConversionOf, Japanese kana ちょう (chō)]
  • A. scriptAdaptationFrom
    Indicates that a script is adapted or derived from a pre-existing source work (such as a book, play, or earlier script).
  • B. conversionProcess chosen
    Indicates a process in which something is transformed or changed from one state, form, or representation into another.
  • C. script
    Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
  • D. scriptedAs
    Indicates that one entity is written or programmed to behave, appear, or function in the manner defined by another entity (such as a script, role, or specification).
  • E. scriptVariantOf
    Indicates that one script is a variant or alternative form of another script, typically differing in style, region, or historical development while remaining closely related.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
PD Predicate disambiguation batch_69e6f62dc9d88190ae387f145f9528de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:22 p.m.