Triple
T13857653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H-1B specialty occupation visa |
E333105
|
entity |
| Predicate | initialValidityPeriod |
P33304
|
FINISHED |
| Object | up to three years |
—
|
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: up to three years | Statement: [H-1B specialty occupation visa, initialValidityPeriod, up to three years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialValidityPeriod Context triple: [H-1B specialty occupation visa, initialValidityPeriod, up to three years]
-
A.
hasValidityPeriod
chosen
Indicates that something is associated with a specific time span during which it is considered valid or in effect.
-
B.
validityPeriodForAdults
Indicates the time span during which something is considered valid or applicable specifically for adults.
-
C.
maximumInitialValidity
Indicates the greatest allowable length of time that an initial validity period for something (such as a status, permission, or agreement) may last.
-
D.
validityPeriodForMinors
Indicates the time span during which something is considered valid specifically for minors.
-
E.
registrationPeriod
Indicates the time span during which registration for something is open or valid.
- 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_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. |
Created at: April 9, 2026, 10:14 p.m.