Triple
T1470395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnair |
E27121
|
entity |
| Predicate | operatesLongHaulRoutesBetween |
P5534
|
FINISHED |
| Object | Europe and Asia |
—
|
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: Europe and Asia | Statement: [Finnair, operatesLongHaulRoutesBetween, Europe and Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesLongHaulRoutesBetween Context triple: [Finnair, operatesLongHaulRoutesBetween, Europe and Asia]
-
A.
operatesShortHaulRoutes
Indicates that an entity (such as an airline or transport operator) runs or provides short-distance routes or services.
-
B.
hasLongHaulFlights
chosen
Indicates that an entity (such as an airline, route, or airport) operates or is associated with long-distance flights typically covering intercontinental or extended-duration journeys.
-
C.
longDistanceOperator
Indicates that an entity performs telephone or communication services that connect calls over long distances between different geographic areas.
-
D.
operatesFlightsInRegion
Indicates that an airline or carrier runs or provides flight services within a specified geographic region.
-
E.
operatesInterCityServices
Indicates that an entity runs or provides transportation services connecting different cities.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d9dd4c8190ba840a9255cd1293 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.