Triple

T4090183
Position Surface form Disambiguated ID Type / Status
Subject E87686 entity
Predicate CantoneseRomanizationSystem P51400 FINISHED
Object Jyutping E412583 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: Jyutping | Statement: [詹, CantoneseRomanizationSystem, Jyutping]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyutping
Context triple: [詹, CantoneseRomanizationSystem, Jyutping]
  • A. Jyutping chosen
    Jyutping is a Cantonese romanization system developed by the Linguistic Society of Hong Kong that uses Latin letters and numbers to represent Cantonese pronunciation.
  • B. Hong Kong Government Cantonese Romanization
    Hong Kong Government Cantonese Romanization is an official system developed by the Hong Kong government for representing Cantonese sounds using the Latin alphabet, primarily for place names and administrative use.
  • 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. Hanyu Pinyin
    Hanyu Pinyin is the official romanization system for Standard Mandarin Chinese, using the Latin alphabet to represent Chinese pronunciation.
  • 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: CantoneseRomanizationSystem
Context triple: [詹, CantoneseRomanizationSystem, Jyutping]
  • A. cantoneseYaleForm chosen
    Indicates the written form of a term using the Yale romanization system for Cantonese pronunciation.
  • B. ChinesePinyin
    Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
  • C. WadeGilesForm
    Indicates that one entity is the Wade–Giles romanized form corresponding to another entity’s written or spoken Chinese form.
  • D. ChineseNameTraditional
    Indicates that an entity’s name is given in traditional Chinese characters.
  • E. hasRomanizationOf
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcab0a1c8190a1b0ca48ebc95b31 completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5769e8b188190a6356c325d0551ea completed March 14, 2026, 2:54 p.m.
PD Predicate disambiguation batch_69aef909c9c88190b09d48dad325a83c completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:39 p.m.