Triple

T17111494
Position Surface form Disambiguated ID Type / Status
Subject Tseng E415235 entity
Predicate usesRomanizationSystem P23170 FINISHED
Object Wade–Giles E256595 NE FINISHED

How this triple was built (2 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: [Tseng, usesRomanizationSystem, Wade–Giles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wade–Giles
Context triple: [Tseng, usesRomanizationSystem, 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.

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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2a7f2c81908eb19594b6accab7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a062d7c81908fe8cdc9e4637168 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.