Triple
T30636115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 爱国统一战线 |
E779847
|
entity |
| Predicate | 理论基础 |
P161156
|
FINISHED |
| Object | 马克思列宁主义统一战线理论 |
—
|
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: 马克思列宁主义统一战线理论 | Statement: [爱国统一战线, 理论基础, 马克思列宁主义统一战线理论]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 理论基础 Context triple: [爱国统一战线, 理论基础, 马克思列宁主义统一战线理论]
-
A.
governingTheory
Indicates that one entity serves as the primary theoretical framework or principle that explains, constrains, or directs the behavior, interpretation, or operation of another entity.
-
B.
theoryOrConcept
chosen
Indicates that one entity is a theory or conceptual framework related to, explaining, or characterizing the other entity.
-
C.
presentsTheory
Indicates that one entity formally puts forward or explains a theory to another entity or audience.
-
D.
developsTheory
Indicates that one entity formulates, elaborates, or advances a theoretical framework or explanation concerning another entity.
-
E.
theoreticalTradition
Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other entity.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a51b8d48190a00ac690761716ce |
completed | May 2, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:28 p.m.