Triple
T38662430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhōnghuá Mínguó Guóqìngrì |
E940367
|
entity |
| Predicate | shortFormChineseName |
P113218
|
FINISHED |
| Object | 國慶日 |
—
|
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: 國慶日 | Statement: [Zhōnghuá Mínguó Guóqìngrì, shortFormChineseName, 國慶日]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFormChineseName Context triple: [Zhōnghuá Mínguó Guóqìngrì, shortFormChineseName, 國慶日]
-
A.
ChineseNameSimplified
Indicates that an entity’s name is given in simplified Chinese characters.
-
B.
shortNameInJapanese
Indicates that an entity has a specific abbreviated or shorter form of its name expressed in the Japanese language.
-
C.
ChineseAbbreviation
chosen
Indicates that one term is an abbreviation or shortened form of another term in Chinese.
-
D.
nameInChinese
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
E.
courtesyNameChinese
Indicates that one entity is the Chinese courtesy name (zì) traditionally adopted by a person, typically in adulthood, as an alternative to their given name.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.