Triple
T14311907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJA panel attorney |
E354852
|
entity |
| Predicate | compensationBasis |
P99530
|
FINISHED |
| Object | hourly rate set by statute or Judicial Conference |
—
|
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: hourly rate set by statute or Judicial Conference | Statement: [CJA panel attorney, compensationBasis, hourly rate set by statute or Judicial Conference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compensationBasis Context triple: [CJA panel attorney, compensationBasis, hourly rate set by statute or Judicial Conference]
-
A.
basisOfWageDetermination
chosen
Indicates the factor or criteria used to determine the amount or structure of a wage.
-
B.
compensationModel
Indicates the type or structure of payment or rewards provided in exchange for work, services, or performance.
-
C.
compensationCategory
Indicates the type or classification of compensation associated with an entity, such as how or in what form payment or remuneration is provided.
-
D.
compensationRate
Indicates the rate or amount of payment provided in exchange for a specified unit of work, time, or service.
-
E.
compensationIncludes
Indicates that a specified form of payment or benefit is part of the overall compensation provided in a given context.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.