Triple
T314317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Marxism |
E7673
|
entity |
| Predicate | coreTenet |
P4751
|
FINISHED |
| Object | socialism with Chinese characteristics |
—
|
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: socialism with Chinese characteristics | Statement: [Chinese Marxism, coreTenet, socialism with Chinese characteristics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreTenet Context triple: [Chinese Marxism, coreTenet, socialism with Chinese characteristics]
-
A.
coreIdea
Indicates the central concept or primary message that underlies or unifies something, such as a text, argument, or work.
-
B.
typeOfPrinciples
Indicates a relationship where one entity specifies the kind or category of principles that another entity embodies, uses, or is governed by.
-
C.
centralIn
chosen
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
D.
supportsPrinciple
Indicates that one entity endorses, upholds, or actively backs a particular principle or doctrine.
-
E.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea62f830819089e94b3aa3e4e187 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e9428098819089d5950cd2c96dc4 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.