Triple
T8051330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R (Miller) v Secretary of State for Exiting the European Union |
E187679
|
entity |
| Predicate | panelSize |
P33490
|
FINISHED |
| Object | 11 justices |
—
|
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: 11 justices | Statement: [R (Miller) v Secretary of State for Exiting the European Union, panelSize, 11 justices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panelSize Context triple: [R (Miller) v Secretary of State for Exiting the European Union, panelSize, 11 justices]
-
A.
typicalPanelSize
chosen
Indicates the usual or standard dimensions associated with a given panel.
-
B.
paletteSize
Indicates the number of distinct colors included in a given color palette.
-
C.
maximumPanelSize
Indicates the largest allowable or supported size for a given panel in the specified context.
-
D.
platformHeight
Indicates the vertical distance or elevation of a platform relative to a defined reference level.
-
E.
panelDivision
Indicates a relationship where a larger panel or board is divided into smaller sections or segments.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7aab6481909d4a7cb9eabcd2af |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049a1b9c8190811c396421ebf9c9 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:24 p.m.