Triple
T37307974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qinghua Fuzhong |
E926129
|
entity |
| Predicate | fullChineseName |
P4878
|
FINISHED |
| Object | 清华大学附属中学 |
—
|
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: 清华大学附属中学 | Statement: [Qinghua Fuzhong, fullChineseName, 清华大学附属中学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullChineseName Context triple: [Qinghua Fuzhong, fullChineseName, 清华大学附属中学]
-
A.
fullNameInChineseGivenName
Indicates that the entity’s full name, when written in Chinese, is ordered with the given name first.
-
B.
nameInChinese
chosen
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
C.
ChineseNameTraditional
Indicates that an entity’s name is given in traditional Chinese characters.
-
D.
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.
-
E.
ChineseNameSimplified
Indicates that an entity’s name is given in simplified Chinese characters.
- 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_69f76eb1bc508190924e9fa5d8acdeb3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.