Triple
T1953097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Appeal of England and Wales |
E42202
|
entity |
| Predicate | numberOfLordsJusticesOfAppeal |
P33489
|
FINISHED |
| Object | approximately 39 |
—
|
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: approximately 39 | Statement: [Court of Appeal of England and Wales, numberOfLordsJusticesOfAppeal, approximately 39]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLordsJusticesOfAppeal Context triple: [Court of Appeal of England and Wales, numberOfLordsJusticesOfAppeal, approximately 39]
-
A.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or court.
-
B.
numberOfSupremeCourtJustices
Indicates the total count of individuals serving as justices on a specified Supreme Court.
-
C.
currentTotalJustices
Indicates the relationship that specifies the present number of justices serving on a particular court or judicial body.
-
D.
definedNumberOfAssociateJustices
Indicates that an entity specifies or establishes the exact number of associate justices in a particular judicial body or court.
-
E.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3501d108190bc5cb23f53db4411 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb1ddccbc8190bf2bd8bac673c0c5 |
completed | March 7, 2026, 5:04 a.m. |
Created at: March 4, 2026, 7:36 p.m.