Triple

T7593091
Position Surface form Disambiguated ID Type / Status
Subject Hepburn E179787 entity
Predicate morePhoneticThan P74938 FINISHED
Object Kunrei-shiki romanization E676690 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: Kunrei-shiki romanization | Statement: [Hepburn, morePhoneticThan, Kunrei-shiki romanization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunrei-shiki romanization
Context triple: [Hepburn, morePhoneticThan, Kunrei-shiki romanization]
  • A. Kunrei-shiki romanization chosen
    Kunrei-shiki romanization is a Japanese romanization system officially standardized in Japan that represents the language’s phonological structure more systematically than the widely used Hepburn system.
  • B. Hepburn romanization
    Hepburn romanization is a widely used system for transcribing Japanese sounds into the Latin alphabet, designed to be intuitive for English speakers.
  • C. McCune–Reischauer
    McCune–Reischauer is a widely used system for romanizing the Korean language, designed to represent Korean pronunciation accurately using the Latin alphabet.
  • D. Romanized Popular Alphabet
    The Romanized Popular Alphabet is a Latin-based writing system developed in the 20th century for transcribing the Hmong language, widely used in Hmong communities and literature.
  • E. Katakana
    Katakana is one of the two main Japanese phonetic writing systems, primarily used for foreign words, onomatopoeia, emphasis, and technical or scientific terms.
  • 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: morePhoneticThan
Context triple: [Hepburn, morePhoneticThan, Kunrei-shiki romanization]
  • A. isPhonetic
    Indicates that one entity represents the phonetic (sound-based) form or pronunciation of another entity.
  • B. degreeOfPhoneticism chosen
    Indicates the extent to which a writing system’s symbols correspond directly to the sounds (phonetics) of the spoken language.
  • C. notFullyPhonetic
    Indicates that the representation of a word or utterance does not capture all of its sounds in a strictly phonetic manner.
  • D. phoneticValue
    Indicates a relationship where a symbol, sign, or written element is associated with the specific sound or sequence of sounds it represents.
  • E. isMorePronouncedIn
    Indicates that a particular feature, quality, or effect appears with greater intensity or prominence in one context, entity, or condition than in another.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a957e2881909c7592f673bea26f completed March 29, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69c6f4e2e42c8190afc802c4796c9cc2 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:53 p.m.