Triple
T36637892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Travel Information and Authorisation System |
E904509
|
entity |
| Predicate | appliesToTravellers |
P138413
|
FINISHED |
| Object | visa-exempt non-EU nationals |
—
|
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: visa-exempt non-EU nationals | Statement: [European Travel Information and Authorisation System, appliesToTravellers, visa-exempt non-EU nationals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToTravellers Context triple: [European Travel Information and Authorisation System, appliesToTravellers, visa-exempt non-EU nationals]
-
A.
appliesToTravelType
Indicates that something is relevant or restricted to a specific type or category of travel.
-
B.
appliesToPassengerType
chosen
Indicates that a rule, condition, or attribute is relevant or restricted to a specific type or category of passenger.
-
C.
fareAppliesTo
Indicates that a specific fare is applicable to a particular trip, service, passenger category, or travel condition.
-
D.
appliesToAirline
Indicates that something (such as a rule, policy, offer, or condition) is specifically relevant or applicable to a particular airline.
-
E.
servesTravelersTo
Indicates a relationship where one entity provides services, assistance, or accommodations specifically directed toward travelers heading to a particular 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff965f9be48190b015b788207be676 |
completed | May 9, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69ff95d3015c8190b9d293fe31b859c3 |
completed | May 9, 2026, 8:15 p.m. |
Created at: May 3, 2026, 4:11 p.m.