Triple
T3840999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan Court of Appeals |
E93447
|
entity |
| Predicate | hasPanelStructure |
P42161
|
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: [Michigan Court of Appeals, hasPanelStructure, three-judge panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanelStructure Context triple: [Michigan Court of Appeals, hasPanelStructure, three-judge panels]
-
A.
hasPanel
chosen
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
hasPanelFormat
Indicates that something is associated with a particular panel layout or format used for its presentation or display.
-
C.
hasServiceStructure
Indicates that one entity provides, contains, or is associated with a particular service-related structure or organizational framework for delivering a service.
-
D.
hasStructureAbove
Indicates that one entity has another entity positioned vertically higher or located on top of it within a structural or spatial arrangement.
-
E.
hasStationStructure
Indicates that an entity possesses or is associated with a particular station-related physical structure.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb235088190b115623e54ea2ab1 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.