Triple
T22401754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halligen Frisian |
E553777
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Halligen |
—
|
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: Halligen | Statement: [Halligen Frisian, spokenIn, Halligen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halligen Context triple: [Halligen Frisian, spokenIn, Halligen]
-
A.
Halligen Frisian
chosen
Halligen Frisian is a distinctive variety of the North Frisian language spoken on the small Halligen islands off the coast of Germany.
-
B.
North Frisian Islands
The North Frisian Islands are a chain of low-lying islands and islets in the Wadden Sea off the coasts of Germany and Denmark, known for their unique Frisian culture, dialects, and coastal landscapes.
-
C.
Rømø
Rømø is a Danish island in the Wadden Sea known for its expansive sandy beaches, coastal dunes, and popular holiday resorts.
-
D.
Amrum
Amrum is a North Frisian island in the North Sea known for its wide sandy beaches, dunes, and traditional thatched-roof villages.
-
E.
Hvasser island
Hvasser island is a scenic coastal island in Færder municipality, Vestfold og Telemark, Norway, known for its beaches, fishing harbors, and summer tourism.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b4a96c8190838f5dda21c4d853 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.