Triple

T19906535
Position Surface form Disambiguated ID Type / Status
Subject Chien E478432 entity
Predicate hasRomanizationType P23170 FINISHED
Object Wade–Giles NE NERFINISHED

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: Wade–Giles | Statement: [Chien, hasRomanizationType, Wade–Giles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wade–Giles
Context triple: [Chien, hasRomanizationType, Wade–Giles]
  • A. Wade–Giles chosen
    Wade–Giles is a historical system for romanizing Mandarin Chinese that was widely used in the English-speaking world before being largely replaced by Pinyin.
  • B. Taiwanese Romanization System
    The Taiwanese Romanization System is a standardized Latin-based orthography used to phonetically represent Taiwanese Hokkien.
  • C. Hepburn romanization
    Hepburn romanization is a widely used system for transcribing Japanese sounds into the Latin alphabet, designed to be intuitive for English speakers.
  • D. Zhuyin
    Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
  • E. Pe̍h-ōe-jī
    Pe̍h-ōe-jī is a Latin-based orthography developed by Western missionaries for writing Southern Min (Hokkien) and related Chinese dialects.
  • 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: hasRomanizationType
Context triple: [Chien, hasRomanizationType, Wade–Giles]
  • 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. romanizationType
    Indicates the specific system or method used to convert text from one writing system into its Roman (Latin) alphabet representation.
  • D. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • 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 (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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65946916881909c3f52208c07aa64 completed April 20, 2026, 4:50 p.m.
PD Predicate disambiguation batch_69e537ecda248190895c96afb6243823 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:52 p.m.