Triple
T8676923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karup |
E205937
|
entity |
| Predicate | hasMajorFacility |
P105
|
FINISHED |
| Object | Karup Air Base |
E387684
|
NE 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: Karup Air Base | Statement: [Karup, hasMajorFacility, Karup Air Base]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karup Air Base Context triple: [Karup, hasMajorFacility, Karup Air Base]
-
A.
Karup Air Base
chosen
Karup Air Base is one of Denmark’s largest and most important military air installations, serving as a central hub for Royal Danish Air Force operations and command.
-
B.
Laage Air Base
Laage Air Base is a major German Air Force installation in northeastern Germany that serves as a key hub for fighter aircraft operations and training.
-
C.
Rygge Air Station
Rygge Air Station is a major Norwegian military air base that has served as an important hub for the Royal Norwegian Air Force.
-
D.
Schleswig Air Base
Schleswig Air Base is a military airfield in northern Germany that serves as a key operational base for the German Air Force.
-
E.
Drewitz Air Base
Drewitz Air Base was a Cold War-era military airfield in East Germany that served as a key operational base for the East German Air Force.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f67cdc819092d1ca541c6d22b9 |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.