Triple
T587418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Court of Appeals for the Ninth Circuit |
E15187
|
entity |
| Predicate | hasEnBancPanelSize |
P2279
|
FINISHED |
| Object | 11 judges |
—
|
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: 11 judges | Statement: [United States Court of Appeals for the Ninth Circuit, hasEnBancPanelSize, 11 judges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnBancPanelSize Context triple: [United States Court of Appeals for the Ninth Circuit, hasEnBancPanelSize, 11 judges]
-
A.
sizeRelativeToCourt
Indicates how the size of an entity compares to the size of a court.
-
B.
maySitEnBanc
Indicates that a judicial body has the authority or option to convene and hear a case with all (or a large majority of) its judges sitting together as a full court.
-
C.
numberOfJudges
chosen
Indicates the total count of judges associated with a particular case, event, or entity.
-
D.
highCourtBench
Indicates that a particular bench or panel of judges belongs to, or is constituted within, a high court.
-
E.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9bf0cc8190a145ccd6fc501349 |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.