Triple

T4729144
Position Surface form Disambiguated ID Type / Status
Subject Mitsuru E104959 entity
Predicate hasTranscriptionSystem P41705 FINISHED
Object Hepburn romanization E208003 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: Hepburn romanization | Statement: [Mitsuru, hasTranscriptionSystem, Hepburn romanization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hepburn romanization
Context triple: [Mitsuru, hasTranscriptionSystem, Hepburn romanization]
  • A. Hepburn romanization chosen
    Hepburn romanization is a widely used system for transcribing Japanese sounds into the Latin alphabet, designed to be intuitive for English speakers.
  • B. Yale romanization
    Yale romanization is a widely used Latin-alphabet transcription system for Cantonese designed to represent pronunciation clearly for learners and linguistic study.
  • 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. Hakka Romanization System
    The Hakka Romanization System is a standardized method of writing the Hakka Chinese language using the Latin alphabet to represent its sounds and tones.
  • E. Taiwanese Romanization System
    The Taiwanese Romanization System is a standardized Latin-based orthography used to phonetically represent Taiwanese Hokkien.
  • 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: hasTranscriptionSystem
Context triple: [Mitsuru, hasTranscriptionSystem, Hepburn romanization]
  • A. usesPhoneticSystem chosen
    Indicates that one entity employs or is based on a particular phonetic system for representing or encoding sounds.
  • B. canDictateText
    Indicates that one entity has the ability to produce or control text content, typically by speaking or issuing commands that are converted into written form.
  • C. hasLinguist
    Indicates that an entity is associated with or possesses a linguist, typically as a member, employee, collaborator, or resource.
  • D. hasVoiceIn
    Indicates that an entity participates by providing a voice role or vocal performance in another entity, such as a work, production, or recording.
  • E. hasPhoneme
    Indicates that a linguistic unit (such as a word or morpheme) contains or includes a particular phoneme as part of its sound structure.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd67c9c3c08190a6c4944cdd1362a8 completed March 20, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10a4bc0481908935278afb13503d completed March 21, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69bd6220071881909670c89d072ffb6d completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:19 p.m.