Triple
T4424551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States residents |
E95178
|
entity |
| Predicate | legalDefinitionDependsOn |
P7781
|
FINISHED |
| Object | context of federal or state law |
—
|
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: context of federal or state law | Statement: [United States residents, legalDefinitionDependsOn, context of federal or state law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalDefinitionDependsOn Context triple: [United States residents, legalDefinitionDependsOn, context of federal or state law]
-
A.
legalDefinitionSource
Indicates the source (such as a statute, regulation, or case) from which a particular legal definition is derived.
-
B.
legalDefinitionJurisdiction
chosen
Indicates the jurisdiction or authority under which a particular legal definition is established or applies.
-
C.
legalConcept
Indicates a relationship where something is classified or treated as a concept defined and governed by law or legal theory.
-
D.
legalTermUsedFrom
Indicates that a particular legal term has been in official or recognized use starting from a specified point in time.
-
E.
legalSignificance
Indicates that something has recognized importance, effect, or consequence within a legal context or system.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.