Triple
T33719646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lithuanian passports |
E863974
|
entity |
| Predicate | travelFreedomRankContext |
P63131
|
FINISHED |
| Object | Schengen Area membership of Lithuania |
—
|
NE NERFINISHED |
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: Schengen Area membership of Lithuania | Statement: [Lithuanian passports, travelFreedomRankContext, Schengen Area membership of Lithuania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelFreedomRankContext Context triple: [Lithuanian passports, travelFreedomRankContext, Schengen Area membership of Lithuania]
-
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.
travelScope
Indicates the extent or range within which travel is allowed, intended, or applicable for an entity or activity.
-
D.
travelRequirement
Indicates that a certain amount or type of travel is necessary for participating in or fulfilling the associated activity, role, or arrangement.
-
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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:44 a.m.