Triple
T2151528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dickerson v. United States |
E47190
|
entity |
| Predicate | statuteInQuestion |
P8819
|
FINISHED |
| Object | 18 U.S.C. § 3501 |
—
|
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: 18 U.S.C. § 3501 | Statement: [Dickerson v. United States, statuteInQuestion, 18 U.S.C. § 3501]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statuteInQuestion Context triple: [Dickerson v. United States, statuteInQuestion, 18 U.S.C. § 3501]
-
A.
statuteInvolved
chosen
Indicates that a particular statute or legal provision is implicated, referenced, or applied in relation to a given case, event, or legal matter.
-
B.
statuteName
Indicates the specific legal statute or act by which something is formally designated, governed, or referenced.
-
C.
statuteInterpreted
Indicates that a legal authority (such as a court or agency) has provided an interpretation or authoritative reading of a particular statute.
-
D.
stateLawAtIssue
Indicates that a particular state law is the subject of dispute, analysis, or determination in a given legal context or case.
-
E.
establishedByStatute
Indicates that something has been formally created, defined, or authorized through a specific law or statute.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe4747a0819080e2234f3ea8995f |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.