Triple
T5543528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russian Embassy in Berlin |
E145349
|
entity |
| Predicate | hasDiplomaticImmunity |
P13278
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Russian Embassy in Berlin, hasDiplomaticImmunity, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiplomaticImmunity Context triple: [Russian Embassy in Berlin, hasDiplomaticImmunity, yes]
-
A.
hasDiplomaticImmunities
chosen
Indicates that an entity possesses legal protections and exemptions from certain laws or jurisdictions in the context of diplomatic relations.
-
B.
hasDiplomaticMission
Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
-
C.
locatedInDiplomaticArea
Indicates that an entity is situated within a designated diplomatic area, such as an embassy district or diplomatic quarter.
-
D.
usedDiplomaticMission
Indicates that one entity employed or relied on a particular diplomatic mission as a means or channel to carry out some action or achieve some objective.
-
E.
hasDualCitizenship
Indicates that a person is legally recognized as a citizen of two different countries at the same time.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fc947bc81908d1f7b709392ec20 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:35 p.m.