Triple
T20019800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law of the Great Terror |
E494825
|
entity |
| Predicate | allowedVerdicts |
P9727
|
FINISHED |
| Object | acquittal |
—
|
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: acquittal | Statement: [Law of the Great Terror, allowedVerdicts, acquittal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowedVerdicts Context triple: [Law of the Great Terror, allowedVerdicts, acquittal]
-
A.
allows
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
-
B.
allowedReturn
Indicates that an entity is permitted to be returned or sent back under specified conditions or rules.
-
C.
acceptedDueTo
Indicates that one entity is approved, admitted, or received as a result of another specific reason, condition, or cause.
-
D.
verdict
chosen
Indicates the formal decision or judgment reached and declared at the conclusion of a legal or evaluative process.
-
E.
authorizedJudgeships
Indicates the number or set of judicial positions that are officially established and permitted by law or authority for a given court or jurisdiction.
- 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_69e6623f1598819097ad4fa392540901 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:34 p.m.