Triple

T7724172
Position Surface form Disambiguated ID Type / Status
Subject Ma E175086 entity
Predicate relatedRomanizationSystem P23170 FINISHED
Object Tongyong Pinyin E281401 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: Tongyong Pinyin | Statement: [Ma, relatedRomanizationSystem, Tongyong Pinyin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongyong Pinyin
Context triple: [Ma, relatedRomanizationSystem, Tongyong Pinyin]
  • A. Tongyong Pinyin chosen
    Tongyong Pinyin is a romanization system for Mandarin Chinese that was once officially used in Taiwan as an alternative to Hanyu Pinyin.
  • B. Hanyu Pinyin
    Hanyu Pinyin is the official romanization system for Standard Mandarin Chinese, using the Latin alphabet to represent Chinese pronunciation.
  • C. Zhuyin
    Zhuyin is a phonetic writing system for transcribing the sounds of Mandarin Chinese, primarily used in Taiwan for teaching pronunciation and literacy.
  • D. Taiwanese Romanization System
    The Taiwanese Romanization System is a standardized Latin-based orthography used to phonetically represent Taiwanese Hokkien.
  • E. Guangyun
    Guangyun is an 11th-century Chinese rime dictionary that serves as a major source for reconstructing the phonology of Middle Chinese.
  • 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: relatedRomanizationSystem
Context triple: [Ma, relatedRomanizationSystem, Tongyong 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. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • D. hasRomanizationContrast
    Indicates that there is a meaningful difference between two or more romanized representations of the same original form.
  • E. romanizationBegan
    Indicates that the process of converting text from one writing system into its representation using the Roman (Latin) alphabet was initiated.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7074eca4c8190bd51fd1b450729e8 completed March 27, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51faa348190b4fa0b5a307c83db completed March 29, 2026, 5:14 a.m.
PD Predicate disambiguation batch_69c7016a6cf88190b53bf4b958f0f302 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:05 p.m.