Triple
T11675049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Day of the People’s Republic of China |
E277468
|
entity |
| Predicate | ChineseNameShortForm |
P4878
|
FINISHED |
| Object | 国庆节 |
—
|
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: 国庆节 | Statement: [National Day of the People’s Republic of China, ChineseNameShortForm, 国庆节]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChineseNameShortForm Context triple: [National Day of the People’s Republic of China, ChineseNameShortForm, 国庆节]
-
A.
ChineseNameSimplified
Indicates that an entity’s name is given in simplified Chinese characters.
-
B.
ChineseNameTraditional
Indicates that an entity’s name is given in traditional Chinese characters.
-
C.
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.
-
D.
ChinesePinyin
Indicates that one entity is the Chinese pinyin (romanized phonetic transcription) representation of another entity.
-
E.
nameInChinese
chosen
Indicates that an entity has a specific written name or label expressed in the Chinese language.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44504c48190b519765a83ff9c5e |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.