Triple
T13857523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EB-1 priority workers immigrant visa |
E333102
|
entity |
| Predicate | visaNumberCategory |
P111813
|
FINISHED |
| Object | employment-based first preference |
—
|
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: employment-based first preference | Statement: [EB-1 priority workers immigrant visa, visaNumberCategory, employment-based first preference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visaNumberCategory Context triple: [EB-1 priority workers immigrant visa, visaNumberCategory, employment-based first preference]
-
A.
usedVisaType
Indicates that a particular type of visa was utilized in the context of an action, transaction, or event involving the related entities.
-
B.
modifiedVisaCategory
Indicates that an entity has changed or updated the classification or type of a visa associated with another entity.
-
C.
cardType
Indicates the classification or category assigned to a card within a given system or context.
-
D.
cardFormat
Indicates the specific layout or structural style in which a card or card-like item is presented or encoded.
-
E.
cardClass
Indicates the classification or category to which a given card belongs within a defined card system or schema.
- 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.