Triple
T2954597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R (Jackson) v Attorney General |
E79901
|
entity |
| Predicate | hasNeutralCitation |
P30925
|
FINISHED |
| Object | [2005] UKHL 56 |
—
|
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: [2005] UKHL 56 | Statement: [R (Jackson) v Attorney General, hasNeutralCitation, [2005] UKHL 56]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeutralCitation Context triple: [R (Jackson) v Attorney General, hasNeutralCitation, [2005] UKHL 56]
-
A.
usesNeutral
Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
-
B.
isNeutralUnder
Indicates that one entity does not affect, alter, or interact with another in a way that changes its state, value, or behavior.
-
C.
hasCitationForm
chosen
Indicates that an entity is associated with a specific standardized form used for citing or referencing it.
-
D.
legalCitation
Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
-
E.
hasDissentingJustice
Indicates that within a judicial decision or ruling, there exists at least one justice who formally disagrees with the majority opinion.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98ff874c81908077a90fdc5e8549 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.