Triple
T14298590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Judicial Center |
E354502
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | judicial research organization |
C26992
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: judicial research organization Context triple: [Federal Judicial Center, instanceOf, judicial research organization]
-
A.
legal education and research center
chosen
A legal education and research center is an institution dedicated to teaching law, advancing legal scholarship, and providing resources and support for academic and practical legal research.
-
B.
judicial training institute
A judicial training institute is an organization dedicated to educating, training, and continuously developing judges and other judicial officers in legal knowledge, skills, ethics, and court administration.
-
C.
commercial legal research platform
A commercial legal research platform is a subscription-based digital service that provides lawyers and legal professionals with searchable access to case law, statutes, regulations, secondary sources, and analytical tools to support legal analysis and decision-making.
-
D.
judicial network
A judicial network is a structured system of interconnected courts, judges, and legal institutions that interact through case decisions, precedents, and administrative relationships to shape and apply the law.
-
E.
jurisprudence corpus
A jurisprudence corpus is a structured collection of legal texts, such as statutes, case law, and scholarly writings, compiled for analysis, research, and reference in the study and practice of law.
- F. None of above.
Provenance (1 batch)
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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 10, 2026, 1:11 a.m.