Triple
T20094153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlskoga |
E496352
|
entity |
| Predicate | hasNearbyAirport |
P4363
|
FINISHED |
| Object | Örebro Airport |
—
|
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: Örebro Airport | Statement: [Karlskoga, hasNearbyAirport, Örebro Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Örebro Airport Context triple: [Karlskoga, hasNearbyAirport, Örebro Airport]
-
A.
Örebro Airport
chosen
Örebro Airport is a regional airport in central Sweden that handles both passenger traffic and significant cargo operations.
-
B.
Norrköping Airport
Norrköping Airport is a regional airport in Norrköping, Sweden, serving domestic and limited international flights for the surrounding area.
-
C.
Jönköping Airport
Jönköping Airport is a regional airport in southern Sweden serving the city of Jönköping with domestic and limited international flights.
-
D.
Örnsköldsvik Airport
Örnsköldsvik Airport is a regional airport in northern Sweden that serves the town of Örnsköldsvik and surrounding areas with domestic flights and air transport services.
-
E.
Västerås Airport
Västerås Airport is a regional airport in Västerås, Sweden, serving both commercial and general aviation traffic and acting as an alternative gateway to the Stockholm area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666a7a94819080ebabfba9762f97 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:23 p.m.