Triple
T13857608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EB-4 special immigrants immigrant visa |
E333104
|
entity |
| Predicate | subjectToAnnualCap |
P111822
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [EB-4 special immigrants immigrant visa, subjectToAnnualCap, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectToAnnualCap Context triple: [EB-4 special immigrants immigrant visa, subjectToAnnualCap, true]
-
A.
statutoryLimitPerIncidentUSD
Indicates the maximum monetary amount, in U.S. dollars, that is legally allowed to be claimed or paid for a single incident under a specific statute or regulation.
-
B.
maximumAnnualPurchaseLimitPerSSN
Indicates the highest total amount that may be purchased within a year by any single individual, as identified by their Social Security Number.
-
C.
isAnnual
Indicates that something occurs, is scheduled, or is valid once every year.
-
D.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
E.
annualQuotaNumber
Indicates the specific numeric value assigned as an entity’s quota for a given year.
- F. None of above. chosen
Provenance (4 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.