Triple
T22401729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Frisia |
E553776
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Niebüll |
—
|
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: Niebüll | Statement: [North Frisia, contains, Niebüll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niebüll Context triple: [North Frisia, contains, Niebüll]
-
A.
Niebüll
chosen
Niebüll is a small town in northern Germany’s Schleswig-Holstein region, known as a transport hub for travelers to the North Frisian Islands, especially Sylt.
-
B.
Siersthal
Siersthal is a small commune in northeastern France, located in the Moselle department within the historical region of Lorraine.
-
C.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
-
D.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
E.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
- 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.