Triple
T7540549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fourth Appellate District |
E178262
|
entity |
| Predicate | hasPanelComposition |
P77713
|
FINISHED |
| Object | three-justice 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-justice panels | Statement: [Fourth Appellate District, hasPanelComposition, three-justice panels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanelComposition Context triple: [Fourth Appellate District, hasPanelComposition, three-justice panels]
-
A.
hasPanel
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.
hasBoardComposition
Indicates that an entity has a specific structure or makeup of its governing board, such as the types or proportions of members who serve on it.
-
D.
hasNumberOfInscribedPanels
Indicates the relationship that specifies how many inscribed panels are associated with a given entity.
-
E.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger entity.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f873b17081908bb70aea0010d072 |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:48 p.m.