Triple
T19376487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 何 |
E484681
|
entity |
| Predicate | mandarinZhuyin |
P52966
|
FINISHED |
| Object | ㄏㄜˊ |
—
|
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: ㄏㄜˊ | Statement: [何, mandarinZhuyin, ㄏㄜˊ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mandarinZhuyin Context triple: [何, mandarinZhuyin, ㄏㄜˊ]
-
A.
mandarinReadingBopomofo
chosen
Indicates the Bopomofo (Zhuyin) phonetic transcription used to represent the Mandarin pronunciation of a given expression or character.
-
B.
mandarinTone
Indicates the specific tonal pattern in Mandarin Chinese with which an entity (such as a syllable or word) is pronounced.
-
C.
ChinesePinyin
Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
-
D.
cantoneseJyutping
Indicates that an entity’s name or term is represented using the Cantonese Jyutping romanization system.
-
E.
hasMandarinReading
Indicates that an entity is associated with a specific reading or pronunciation in Mandarin Chinese.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.