Triple
T32112064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Category Visa (subclass 444) |
E820143
|
entity |
| Predicate | grantMethod |
P180989
|
FINISHED |
| Object | usually granted automatically at the border |
—
|
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: usually granted automatically at the border | Statement: [Special Category Visa (subclass 444), grantMethod, usually granted automatically at the border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantMethod Context triple: [Special Category Visa (subclass 444), grantMethod, usually granted automatically at the border]
-
A.
grantType
Indicates the specific authorization or credential flow used to obtain access or permissions in a grant-based process.
-
B.
grantUse
Indicates that one entity gives another entity permission or authorization to use something.
-
C.
grantPattern
Indicates that one entity confers a permission or privilege to another according to a specified pattern or rule.
-
D.
grantSelectionMethod
Indicates the method or criteria by which a grant is chosen or awarded among potential candidates.
-
E.
grantLocation
Indicates that an entity is located at, based in, or associated with a particular place or geographic location.
- 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: May 1, 2026, 12:27 a.m.