Triple
T21567621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шанхайская пятёрка |
E532201
|
entity |
| Predicate | характерОтношений |
P137672
|
FINISHED |
| Object | неблоковый формат сотрудничества |
—
|
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: неблоковый формат сотрудничества | Statement: [Шанхайская пятёрка, характерОтношений, неблоковый формат сотрудничества]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: характерОтношений Context triple: [Шанхайская пятёрка, характерОтношений, неблоковый формат сотрудничества]
-
A.
relationshipCharacterizedAs
Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
-
B.
portraysCharacterRelationship
Indicates that one entity depicts or represents the relationship between characters in another entity.
-
C.
stateOfRelations
chosen
Indicates the current nature or condition of the relationship between two or more entities, such as whether it is friendly, hostile, neutral, or otherwise characterized.
-
D.
portraysRelationship
Indicates that one entity depicts, represents, or illustrates a relationship between other entities.
-
E.
characterActorRelationship
Indicates a relationship where an actor portrays or is associated with a specific character in a work.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9c9f264819085b4807923860793 |
completed | April 27, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.