Triple
T25822583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visa Waiver Program |
E650440
|
entity |
| Predicate | travelPurposeRestriction |
P53204
|
FINISHED |
| Object | no study leading to a degree |
—
|
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: no study leading to a degree | Statement: [Visa Waiver Program, travelPurposeRestriction, no study leading to a degree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelPurposeRestriction Context triple: [Visa Waiver Program, travelPurposeRestriction, no study leading to a degree]
-
A.
hasTourismRestriction
chosen
Indicates that there is a limitation, prohibition, or special condition affecting tourism-related activities or access in relation to the referenced entity.
-
B.
transportRestriction
Indicates that there are limitations, prohibitions, or special conditions governing the use of a particular mode or means of transportation between entities.
-
C.
travelRequirement
Indicates that a certain amount or type of travel is necessary for participating in or fulfilling the associated activity, role, or arrangement.
-
D.
journeyPurpose
Indicates the reason or intended goal motivating an entity’s journey or trip.
-
E.
validForTravelTo
Indicates that something (such as a document, item, or condition) is acceptable or authorized for use when traveling to a specified destination.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 7:30 a.m.