Triple
T22343834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordfriesland |
E552339
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Niebüll
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.
|
E1530896
|
NE FINISHED |
How this triple was built (4 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: [Nordfriesland, hasMajorTown, Niebüll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niebüll Context triple: [Nordfriesland, hasMajorTown, Niebüll]
-
A.
Siersthal
Siersthal is a small commune in northeastern France, located in the Moselle department within the historical region of Lorraine.
-
B.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
-
C.
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.
-
D.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
E.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Niebüll Triple: [Nordfriesland, hasMajorTown, Niebüll]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niebüll Target entity description: 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.
-
A.
Siersthal
Siersthal is a small commune in northeastern France, located in the Moselle department within the historical region of Lorraine.
-
B.
Marheineke
Marheineke is a German surname most notably associated with the 19th-century Protestant theologian Philipp Marheineke.
-
C.
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.
-
D.
Bielke
Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
-
E.
Wiedensahl
Wiedensahl is a small village in Lower Saxony, Germany, best known as the birthplace of the humorist and illustrator Wilhelm Busch.
- F. None of above. chosen
Provenance (5 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15796b2288190b10e9402abf35fd3 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad531b2a08190ad6638b72e018998 |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad9947a8481909b36b72d15432d63 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada8fe7208190bc1143e328abc112 |
completed | May 18, 2026, 9:23 a.m. |
Created at: April 16, 2026, 8:43 p.m.