Triple

T2562545
Position Surface form Disambiguated ID Type / Status
Subject Guoyu E57273 entity
Predicate hasRomanizationSystem P23170 FINISHED
Object Hanyu Pinyin E175084 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: Hanyu Pinyin | Statement: [Guoyu, hasRomanizationSystem, Hanyu Pinyin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanyu Pinyin
Context triple: [Guoyu, hasRomanizationSystem, Hanyu Pinyin]
  • A. Hanyu Pinyin chosen
    Hanyu Pinyin is the official romanization system for Standard Mandarin Chinese, using the Latin alphabet to represent Chinese pronunciation.
  • B. Zhuyin
    Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
  • C. Pe̍h-ōe-jī
    Pe̍h-ōe-jī is a Latin-based orthography developed by Western missionaries for writing Southern Min (Hokkien) and related Chinese dialects.
  • D. Taiwanese Romanization System
    The Taiwanese Romanization System is a standardized Latin-based orthography used to phonetically represent Taiwanese Hokkien.
  • E. Mandarin Chinese
    Mandarin Chinese is the most widely spoken variety of Chinese and a major world language used across mainland China, Taiwan, and many overseas Chinese communities.
  • 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: hasRomanizationSystem
Context triple: [Guoyu, hasRomanizationSystem, Hanyu Pinyin]
  • 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. hasRomanizationContrast
    Indicates that there is a meaningful difference between two or more romanized representations of the same original form.
  • D. hasSyllabary
    Indicates that one entity possesses or is associated with a specific syllabary writing system used to represent its language or notation.
  • E. hasWritingSystemForMajorLanguage
    Indicates that there exists a writing system used to represent a major language associated with the given entity.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35c6ee88190b6eaa1841d3e99a4 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6562d6f08190a2be483b06a789cc completed March 10, 2026, 12:27 a.m.
PD Predicate disambiguation batch_69abd0caeb488190b0dd8e48d0f2777d completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:48 p.m.