Triple
T32448096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhōnghuá Rénmín Gònghéguó Fùzhǔxí |
E829200
|
entity |
| Predicate | pinyinOf |
P41219
|
FINISHED |
| Object | 中华人民共和国副主席 |
—
|
LITERAL 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: 中华人民共和国副主席 | Statement: [Zhōnghuá Rénmín Gònghéguó Fùzhǔxí, pinyinOf, 中华人民共和国副主席]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pinyinOf Context triple: [Zhōnghuá Rénmín Gònghéguó Fùzhǔxí, pinyinOf, 中华人民共和国副主席]
-
A.
ChinesePinyin
chosen
Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
-
B.
notInPinyinStandard
Indicates that a given pinyin form does not conform to the recognized standard pinyin system or conventions.
-
C.
mandarinReadingBopomofo
Indicates the Bopomofo (Zhuyin) phonetic transcription used to represent the Mandarin pronunciation of a given expression or character.
-
D.
cantoneseJyutping
Indicates that an entity’s name or term is represented using the Cantonese Jyutping romanization system.
-
E.
bearerNameInPinyin
Indicates that the bearer’s name is represented in its pinyin (romanized Chinese) form.
- F. None of above.
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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2e767bc8190b49fd0c4a557b464 |
completed | May 3, 2026, 3:37 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:56 a.m.