Triple
T494046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Petty Bench |
E10250
|
entity |
| Predicate | sizeRelativeToCourt |
P14170
|
FINISHED |
| Object | smaller panel compared to the Grand Bench |
—
|
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: smaller panel compared to the Grand Bench | Statement: [First Petty Bench, sizeRelativeToCourt, smaller panel compared to the Grand Bench]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeRelativeToCourt Context triple: [First Petty Bench, sizeRelativeToCourt, smaller panel compared to the Grand Bench]
-
A.
usedCourt
Indicates that an entity made use of or participated in legal proceedings within a particular court.
-
B.
termOfCourt
Indicates the specific judicial session or period during which a court is formally in operation for a case or legal matter.
-
C.
limitedByCourtCase
Indicates that one entity’s scope, effect, or applicability is restricted or constrained as a result of a specific court case or legal proceeding.
-
D.
highCourtBench
Indicates that a particular bench or panel of judges belongs to, or is constituted within, a high court.
-
E.
hasTypeOfCourt
Indicates that an entity is associated with or classified by a specific type or category of 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fbfa408190aeb3b93996a35c00 |
completed | Feb. 28, 2026, 1:43 p.m. |
| PD | Predicate disambiguation | batch_69a2edf90ca88190b6a182e5b6733612 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebb2c908190960a4d0c014304cd |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.