Triple
T2699039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Final Appeal |
E58585
|
entity |
| Predicate | numberOfPermanentJudges |
P42048
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Court of Final Appeal, numberOfPermanentJudges, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPermanentJudges Context triple: [Court of Final Appeal, numberOfPermanentJudges, 4]
-
A.
numberOfJudges
Indicates the total count of judges associated with a particular case, event, or entity.
-
B.
maximumAgeOfJudges
Indicates the highest allowable age that individuals may have in order to serve as judges.
-
C.
numberOfSupremeCourtJustices
Indicates the total count of individuals serving as justices on a specified Supreme Court.
-
D.
hasLifeTenureJudges
Indicates that the judges associated with an office, position, or institution hold their roles for life, typically remaining in office until they choose to retire, resign, or are removed under exceptional circumstances.
-
E.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or court.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda339cf48190b9ae6b99137f005e |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.