Triple
T8593692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Dream of national rejuvenation |
E203490
|
entity |
| Predicate | framedAs |
P42942
|
FINISHED |
| Object | dream of the Chinese people |
—
|
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: dream of the Chinese people | Statement: [Chinese Dream of national rejuvenation, framedAs, dream of the Chinese people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: framedAs Context triple: [Chinese Dream of national rejuvenation, framedAs, dream of the Chinese people]
-
A.
framed
Indicates that one entity has been falsely presented or set up to appear responsible or guilty for an action or situation, typically to mislead others.
-
B.
framedBy
Indicates that one entity serves as a surrounding boundary or enclosing structure that visually or conceptually frames another entity.
-
C.
framesAs
chosen
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
D.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
E.
frameOfAction
Indicates the contextual situation, setting, or circumstances within which an action or event takes place.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.