Triple
T3571941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Traveler Enrollment Program |
E75590
|
entity |
| Predicate | availableFor |
P50639
|
FINISHED |
| Object | international trips |
—
|
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: international trips | Statement: [Smart Traveler Enrollment Program, availableFor, international trips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableFor Context triple: [Smart Traveler Enrollment Program, availableFor, international trips]
-
A.
availableAs
Indicates that one entity can be used, accessed, or offered in the form, role, or capacity of another entity.
-
B.
availableWith
Indicates that one entity can be obtained, accessed, or used in conjunction with another entity.
-
C.
availableOnlineAt
Indicates that something can be accessed or obtained via a specified online source or location.
-
D.
availability
Indicates that an entity is present, accessible, or ready for use or interaction by another entity.
-
E.
accessibleOn
Indicates that one entity can be reached, used, or obtained through another entity (such as a platform, device, or medium).
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0c447fc81909689259558187af4 |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:21 p.m.