Triple
T15866651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flyvevåbnet |
E384730
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Flyvevåbnet |
E384730
|
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: Flyvevåbnet | Statement: [Flyvevåbnet, nativeName, Flyvevåbnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flyvevåbnet Context triple: [Flyvevåbnet, nativeName, Flyvevåbnet]
-
A.
Flyvevåbnet
chosen
Flyvevåbnet is the Danish term for the Royal Danish Air Force, the air warfare branch of Denmark’s armed forces.
-
B.
Flygvapnet
Flygvapnet is the Swedish Air Force, responsible for Sweden’s aerial defense and military air operations.
-
C.
Forsvaret
Forsvaret is the unified military organization of Norway, responsible for the country’s defense and armed operations by land, sea, and air.
-
D.
Luftburen
Luftburen is a notable literary work by Swedish author Per Wästberg, reflecting his characteristic blend of social insight and nuanced psychological portrayal.
-
E.
Black Flight
Black Flight was a renowned World War I Royal Naval Air Service fighter unit led by Canadian ace Raymond Collishaw, noted for its distinctive black-painted aircraft and high victory tally.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155603e908190acad1bce2eb6e210 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa947ba3881909c602f2fc60dd6e8 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.