Triple
T38685322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kara katorga |
E949098
|
entity |
| Predicate | governmentFormAtTime |
P125566
|
FINISHED |
| Object | autocracy of the Russian Empire |
—
|
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: autocracy of the Russian Empire | Statement: [Kara katorga, governmentFormAtTime, autocracy of the Russian Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentFormAtTime Context triple: [Kara katorga, governmentFormAtTime, autocracy of the Russian Empire]
-
A.
governmentFormDuringEra
Indicates the specific form or system of government that was in place during a particular historical era or time period.
-
B.
governmentFormDuring
chosen
Indicates the form or type of government that was in place during a specified time period or event.
-
C.
governmentFormDefined
Indicates that the specific form or structure of governance for an entity has been formally specified or classified.
-
D.
governmentFormModeled
Indicates that one government form is modeled after, or structurally based on, another government form.
-
E.
governmentForms
Indicates the types or structures of governance that an entity establishes, adopts, or is organized under.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:33 p.m.