Triple
T10879876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Collegium of the Supreme Court of the USSR |
E256893
|
entity |
| Predicate | handledCases |
P71354
|
FINISHED |
| Object | serious criminal cases |
—
|
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: serious criminal cases | Statement: [Military Collegium of the Supreme Court of the USSR, handledCases, serious criminal cases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: handledCases Context triple: [Military Collegium of the Supreme Court of the USSR, handledCases, serious criminal cases]
-
A.
handledWith
Indicates that an entity is managed, processed, or dealt with using a particular method, tool, or means.
-
B.
handledMatter
chosen
Indicates that an entity has dealt with, managed, or taken responsibility for a particular matter, issue, or case.
-
C.
handledLanguage
Indicates that an entity has processed, used, or otherwise dealt with a particular language in some context.
-
D.
hasCase
Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by another entity.
-
E.
handlingRequirement
Indicates the specific conditions, precautions, or procedures that must be followed when handling an item, substance, or 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751af50448190906b47c16878208f |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.