Triple
T24669378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icelandair |
E610781
|
entity |
| Predicate | focusesOnRouteNetworkBetween |
P30193
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Icelandair, focusesOnRouteNetworkBetween, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnRouteNetworkBetween Context triple: [Icelandair, focusesOnRouteNetworkBetween, Europe]
-
A.
routeBetween
Indicates that there exists a path or connection enabling travel or communication between two locations or points.
-
B.
associatedWithRouteNetwork
chosen
Indicates a relationship where something is linked or connected to a specific route network.
-
C.
includesRouteBetween
Indicates that one entity (such as a service, plan, or network) contains or provides a specific route connecting two locations or points.
-
D.
hasRouteNetwork
Indicates that one entity possesses, is associated with, or is covered by a specific route network connecting multiple locations or paths.
-
E.
openedRouteBetween
Indicates that an agent initiated or established a route or connection enabling movement or communication between two locations or entities.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:41 a.m.