Triple
T1782973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immigration Act of 1924 |
E39328
|
entity |
| Predicate | statuteCitation |
P1118
|
FINISHED |
| Object | 43 Stat. 153 |
—
|
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: 43 Stat. 153 | Statement: [Immigration Act of 1924, statuteCitation, 43 Stat. 153]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statuteCitation Context triple: [Immigration Act of 1924, statuteCitation, 43 Stat. 153]
-
A.
legalCitation
Indicates that one legal document, case, or authority formally references or cites another as a source of legal support or precedent.
-
B.
statuteInvolved
Indicates that a particular statute or legal provision is implicated, referenced, or applied in relation to a given case, event, or legal matter.
-
C.
constitutionalCitation
Indicates a relationship where one entity cites, references, or is grounded in a specific provision or article of a constitution.
-
D.
legalCitationType
Indicates the specific kind or category of legal citation that characterizes the relationship between the citing and cited legal sources.
-
E.
statutesAtLargeCitation
chosen
Indicates that one entity cites or is referenced by a specific citation in the United States Statutes at Large.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.