Triple

T12664619
Position Surface form Disambiguated ID Type / Status
Subject Yoshihisa E302514 entity
Predicate canBeRomanizedWith P23170 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: [Yoshihisa, canBeRomanizedWith, Hepburn romanization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hepburn romanization
Context triple: [Yoshihisa, canBeRomanizedWith, 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. Kunrei-shiki romanization
    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.
  • C. Yale romanization
    Yale romanization is a widely used Latin-alphabet transcription system for Cantonese designed to represent pronunciation clearly for learners and linguistic study.
  • D. McCune–Reischauer
    McCune–Reischauer is a widely used system for romanizing the Korean language, designed to represent Korean pronunciation accurately using the Latin alphabet.
  • E. 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.
  • 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: canBeRomanizedWith
Context triple: [Yoshihisa, canBeRomanizedWith, Hepburn romanization]
  • A. hasRomanizationOf
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • B. hasRomanizationStandard chosen
    Indicates that an entity’s romanized form follows a specified romanization standard or system.
  • C. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • D. hasMacronRomanization
    Indicates that an entity is associated with a Romanized form of text that uses macrons to mark long vowels.
  • E. hasRomanizationContrast
    Indicates that there is a meaningful difference between two or more romanized representations of the same original form.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9617e030881908444743b8a7e0d75 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688a19148190b8d252d3706d2b05 completed May 2, 2026, 9:11 p.m.
PD Predicate disambiguation batch_69d960b78ce8819091f15dd5013e6da5 completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:19 p.m.