Triple
T37528960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of China in Russia |
E932980
|
entity |
| Predicate | typeOfRelationManaged |
P156756
|
FINISHED |
| Object | bilateral diplomatic relations |
—
|
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: bilateral diplomatic relations | Statement: [Embassy of China in Russia, typeOfRelationManaged, bilateral diplomatic relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRelationManaged Context triple: [Embassy of China in Russia, typeOfRelationManaged, bilateral diplomatic relations]
-
A.
managesRelationsWith
Indicates that one entity is responsible for handling, coordinating, or overseeing the interactions and ongoing relationship with another entity.
-
B.
typeOfRelationsHandled
chosen
Indicates the kinds or categories of relationships that an entity is responsible for managing or processing.
-
C.
typeOfPropertyManaged
Indicates the specific category or kind of property that an entity is responsible for managing.
-
D.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
E.
testsRelation
Indicates a relationship where one entity evaluates, examines, or verifies another entity, typically to assess its properties, behavior, or correctness.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.