Triple
T33526131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 周公 |
E858643
|
entity |
| Predicate | 相关成语 |
P148624
|
FINISHED |
| Object | 周公吐哺 |
—
|
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: 周公吐哺 | Statement: [周公, 相关成语, 周公吐哺]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 相关成语 Context triple: [周公, 相关成语, 周公吐哺]
-
A.
relatedProverb
Indicates that one entity is a proverb that is thematically or conceptually related to another entity.
-
B.
名物
Indicates that something is a famous local specialty or notable product strongly associated with a particular place.
-
C.
associatedProverb
chosen
Indicates that there is a relationship between something (such as a concept, situation, or statement) and a specific proverb that is linked to or expressive of it.
-
D.
meaningComponent幸
Indicates that the entity functions as a semantic or meaning-bearing component within a larger composite expression or structure.
-
E.
ChineseAbbreviation
Indicates that one term is an abbreviation or shortened form of another term in Chinese.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.