Triple
T4469165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshal of the People's Republic of China |
E98451
|
entity |
| Predicate | shortFormChineseNameSimplified |
P6283
|
FINISHED |
| Object | 元帅 |
—
|
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: 元帅 | Statement: [Marshal of the People's Republic of China, shortFormChineseNameSimplified, 元帅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFormChineseNameSimplified Context triple: [Marshal of the People's Republic of China, shortFormChineseNameSimplified, 元帅]
-
A.
ChineseNameSimplified
chosen
Indicates that an entity’s name is given in simplified Chinese characters.
-
B.
nameInChinese
Indicates that an entity has a specific written name or label expressed in the Chinese language.
-
C.
fullNameInChineseGivenName
Indicates that the entity’s full name, when written in Chinese, is ordered with the given name first.
-
D.
ChineseNameTraditional
Indicates that an entity’s name is given in traditional Chinese characters.
-
E.
shortNameInThai
Indicates that an entity has a short or abbreviated name expressed in the Thai 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.