Triple
T35695800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Båtsfjord Airport |
E1031435
|
entity |
| Predicate | mainAirlineOperator |
P89671
|
FINISHED |
| Object | Widerøe |
—
|
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: Widerøe | Statement: [Båtsfjord Airport, mainAirlineOperator, Widerøe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAirlineOperator Context triple: [Båtsfjord Airport, mainAirlineOperator, Widerøe]
-
A.
airlineOperator
chosen
Indicates that one entity operates or manages airline services for another entity or in a specified context.
-
B.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
C.
primaryAircraftOperator
Indicates that one entity is the main organization or individual responsible for operating a particular aircraft.
-
D.
airLegOperatedBy
Indicates that a specific segment (leg) of an air journey is operated by a particular airline or carrier.
-
E.
belongsToAirportOperator
Indicates that an airport or related facility is owned, managed, or operated by a specific airport operating organization.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.