Triple
T1782948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immigration Act of 1924 |
E39328
|
entity |
| Predicate | setOverallAnnualCap |
P9530
|
FINISHED |
| Object | 150000 immigrants per year |
—
|
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: 150000 immigrants per year | Statement: [Immigration Act of 1924, setOverallAnnualCap, 150000 immigrants per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setOverallAnnualCap Context triple: [Immigration Act of 1924, setOverallAnnualCap, 150000 immigrants per year]
-
A.
setsMaximum
chosen
Indicates that one entity establishes an upper limit or maximum allowable value for another entity or quantity.
-
B.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
C.
maximumCapacity
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
D.
amendedLimit
Indicates that a previously established limit has been modified or updated from its original value.
-
E.
isAnnual
Indicates that something occurs, is scheduled, or is valid once every year.
- 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.