Triple
T4005731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magistrates' courts of England and Wales |
E89520
|
entity |
| Predicate | alternativeToPanel |
P5887
|
FINISHED |
| Object | single district judge (magistrates' courts) |
—
|
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: single district judge (magistrates' courts) | Statement: [Magistrates' courts of England and Wales, alternativeToPanel, single district judge (magistrates' courts)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeToPanel Context triple: [Magistrates' courts of England and Wales, alternativeToPanel, single district judge (magistrates' courts)]
-
A.
hasPanel
Indicates that one entity includes, is equipped with, or is associated with a panel as a component or feature.
-
B.
alternativeForm
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
C.
isAlternativeTo
chosen
Indicates that one entity can serve as a substitute or different option in place of another.
-
D.
offersPanelType
Indicates that an entity provides or makes available a specific type of panel as part of its offerings.
-
E.
typicalPanelSize
Indicates the usual or standard dimensions associated with a given 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.