Triple
T9309519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi passports |
E223971
|
entity |
| Predicate | travelFreedomLevel |
P63131
|
FINISHED |
| Object | relatively limited visa-free access |
—
|
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: relatively limited visa-free access | Statement: [Iraqi passports, travelFreedomLevel, relatively limited visa-free access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelFreedomLevel Context triple: [Iraqi passports, travelFreedomLevel, relatively limited visa-free access]
-
A.
travelFreedom
chosen
Indicates the degree to which an entity is allowed or able to move or travel freely across locations or jurisdictions without restriction.
-
B.
travelCapability
Indicates the ability or capacity of an entity to move or be transported from one location to another.
-
C.
hasTourismRestriction
Indicates that there is a limitation, prohibition, or special condition affecting tourism-related activities or access in relation to the referenced entity.
-
D.
shareVisaPolicy
Indicates that two entities apply the same or highly similar visa requirements and entry rules to travelers.
-
E.
travelAdvisory
Indicates that one authority issues guidance or warnings to others about safety, risks, or conditions related to traveling to a particular place.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd1daba67c819081d53545d67ef127 |
completed | April 1, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:37 p.m.