Triple
T8681628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feng |
E206051
|
entity |
| Predicate | romanizationSystem |
P6517
|
FINISHED |
| Object | Pinyin |
E175084
|
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: Pinyin | Statement: [Feng, romanizationSystem, Pinyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinyin Context triple: [Feng, romanizationSystem, 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.
Tongyong Pinyin
Tongyong Pinyin is a romanization system for Mandarin Chinese that was once officially used in Taiwan as an alternative to Hanyu Pinyin.
-
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.
Pe̍h-ōe-jī
Pe̍h-ōe-jī is a Latin-based orthography developed by Western missionaries for writing Southern Min (Hokkien) and related Chinese dialects.
-
E.
Jyutping
Jyutping is a Cantonese romanization system developed by the Linguistic Society of Hong Kong that uses Latin letters and numbers to represent Cantonese pronunciation.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf287f05748190b41c606eaae5d0b7 |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:32 p.m.