Triple
T30715336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shang jiang |
E782008
|
entity |
| Predicate | writtenFormSimplifiedChinese |
P6283
|
FINISHED |
| Object | 上将 |
—
|
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: 上将 | Statement: [shang jiang, writtenFormSimplifiedChinese, 上将]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenFormSimplifiedChinese Context triple: [shang jiang, writtenFormSimplifiedChinese, 上将]
-
A.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
B.
ChineseNameSimplified
chosen
Indicates that an entity’s name is given in simplified Chinese characters.
-
C.
characterUnicodeSimplified
Indicates that one entity is the simplified-Unicode character form corresponding to another character entity.
-
D.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
-
E.
writtenInForm
Indicates that something is expressed, recorded, or composed using a particular format, style, or structural form.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:35 p.m.