Triple
T19696910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota Court of Appeals |
E472983
|
entity |
| Predicate | usesPanelSize |
P38342
|
FINISHED |
| Object | three-judge panels |
—
|
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: three-judge panels | Statement: [Minnesota Court of Appeals, usesPanelSize, three-judge panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPanelSize Context triple: [Minnesota Court of Appeals, usesPanelSize, three-judge panels]
-
A.
maximumPanelSize
chosen
Indicates the largest allowable or supported size for a given panel in the specified context.
-
B.
typicalPanelSize
Indicates the usual or standard dimensions associated with a given panel.
-
C.
hasPanel
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
D.
whitePanelWidthFraction
Indicates the proportional width of a white panel relative to a reference or total width.
-
E.
panelArea
Indicates the total surface area covered or occupied by a specific panel.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6421527b08190858788265043792d |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.