Triple
T20029637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet plenipotentiary representative in China |
E495085
|
entity |
| Predicate | correspondsToModernOffice |
P15578
|
FINISHED |
| Object | ambassador of the Russian Federation to China |
—
|
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: ambassador of the Russian Federation to China | Statement: [Soviet plenipotentiary representative in China, correspondsToModernOffice, ambassador of the Russian Federation to China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToModernOffice Context triple: [Soviet plenipotentiary representative in China, correspondsToModernOffice, ambassador of the Russian Federation to China]
-
A.
equivalentOffice
chosen
Indicates that two offices are considered functionally or formally the same position, role, or authority, even if they differ in name or jurisdiction.
-
B.
relatesToOffice
Indicates that one entity has a connection, association, or relevance to an office, its functions, or its environment.
-
C.
worksWithOffice
Indicates that an entity collaborates or is professionally associated with a particular office or office-based organization.
-
D.
usedOffice
Indicates that an entity made use of or occupied a particular office or workplace.
-
E.
usedByOffice
Indicates that something is utilized, operated, or employed by an office or office-related 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:36 p.m.