Triple
T20023902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDIC v. Meyer |
E494927
|
entity |
| Predicate | involvesLegalDoctrine |
P4756
|
FINISHED |
| Object | sovereign immunity |
—
|
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: sovereign immunity | Statement: [FDIC v. Meyer, involvesLegalDoctrine, sovereign immunity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesLegalDoctrine Context triple: [FDIC v. Meyer, involvesLegalDoctrine, sovereign immunity]
-
A.
involvedInLegalDoctrine
Indicates that an entity plays a role in the formation, interpretation, application, or development of a particular legal doctrine.
-
B.
legalDoctrine
chosen
Indicates that one legal principle, rule, or theory is being applied, referenced, or relied upon as an authoritative basis for interpreting or deciding a legal issue.
-
C.
legalDoctrineInfluenced
Indicates that one legal doctrine has shaped, informed, or contributed to the development or interpretation of another legal doctrine.
-
D.
legalDoctrineChallenged
Indicates that a particular legal doctrine is being disputed, questioned, or contested, typically through litigation or formal legal argument.
-
E.
relatedLegalSystem
Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628a1ecc8190bf6ee0bedb61e0b8 |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:35 p.m.