Triple
T20019799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Law of the Great Terror |
E494825
|
entity |
| Predicate | simplified |
P138395
|
FINISHED |
| Object | criminal procedure |
—
|
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: criminal procedure | Statement: [Law of the Great Terror, simplified, criminal procedure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: simplified Context triple: [Law of the Great Terror, simplified, criminal procedure]
-
A.
simplifiedForm
Indicates that one entity is a reduced or less complex version of another, preserving essential meaning while omitting detail or complexity.
-
B.
designSimplification
Indicates a relationship where one entity reduces the complexity of another entity’s design, making it simpler or more streamlined.
-
C.
isSimple
Indicates that something has a straightforward, uncomplicated nature or structure, lacking complexity or elaboration.
-
D.
visualSimplicity
Indicates that something is characterized by a minimal, uncluttered, and easy-to-perceive visual appearance or design.
-
E.
reducedVersionOf
Indicates that one entity is a simplified, shortened, or otherwise less extensive form of another entity while preserving its essential content or function.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:34 p.m.