Triple
T20823659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholmian |
E512638
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Bornholmsk |
—
|
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: Bornholmsk | Statement: [Bornholmian, hasAlternativeName, Bornholmsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bornholmsk Context triple: [Bornholmian, hasAlternativeName, Bornholmsk]
-
A.
Bornholmsk
chosen
Bornholmsk is the distinctive East Danish dialect spoken on the island of Bornholm, known for preserving several archaic Scandinavian linguistic features.
-
B.
Bornholm
Bornholm is a Danish island known for its rocky coastline, medieval ruins, and picturesque fishing villages in the Baltic Sea.
-
C.
Gødland
Gødland is a psychedelic, retro-styled science fiction comic book series that pays homage to classic cosmic superhero tales, created by writer Joe Casey and artist Tom Scioli.
-
D.
Lolland
Lolland is a large, predominantly agricultural island in southeastern Denmark known for its flat landscape and sugar beet production.
-
E.
Großbothen
Großbothen is a village in the German state of Saxony, historically noted as the place where pioneering psychologist Wilhelm Wundt spent his final years and died.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fc0cd081909e264cda686579ea |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.