Triple
T1858334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SVR |
E41755
|
entity |
| Predicate | typeOfIntelligenceService |
P18468
|
FINISHED |
| Object | civilian intelligence agency |
—
|
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: civilian intelligence agency | Statement: [SVR, typeOfIntelligenceService, civilian intelligence agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfIntelligenceService Context triple: [SVR, typeOfIntelligenceService, civilian intelligence agency]
-
A.
typeOfIntelligence
chosen
Indicates that one entity is a specific kind or category of intelligence in relation to another entity.
-
B.
providesIntelligenceTo
Indicates that one entity supplies information, analysis, or insight that enhances the knowledge or decision-making capability of another entity.
-
C.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another entity.
-
D.
personalityType
Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
-
E.
intelligenceLevel
Indicates the degree or measure of cognitive ability or intelligence attributed to an 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.