Triple
T20823740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bornholm Municipality |
E512640
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Knudsker
Knudsker is a small settlement on the Danish island of Bornholm, known for its rural character and proximity to the town of Rønne.
|
E1452330
|
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: Knudsker | Statement: [Bornholm Municipality, containsSettlement, Knudsker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knudsker Context triple: [Bornholm Municipality, containsSettlement, Knudsker]
-
A.
Knud
Knud is a Scandinavian male given name of Old Norse origin, commonly associated with historical Danish kings and later used as the basis for surnames like Knudsen.
-
B.
Kockums
Kockums is a Swedish shipyard and defense contractor renowned for designing advanced conventional submarines and naval vessels.
-
C.
Ekornes
Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
-
D.
Knute
Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
-
E.
Krasker
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
- 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: Knudsker Triple: [Bornholm Municipality, containsSettlement, Knudsker]
Generated description
Knudsker is a small settlement on the Danish island of Bornholm, known for its rural character and proximity to the town of Rønne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knudsker Target entity description: Knudsker is a small settlement on the Danish island of Bornholm, known for its rural character and proximity to the town of Rønne.
-
A.
Knud
Knud is a Scandinavian male given name of Old Norse origin, commonly associated with historical Danish kings and later used as the basis for surnames like Knudsen.
-
B.
Kockums
Kockums is a Swedish shipyard and defense contractor renowned for designing advanced conventional submarines and naval vessels.
-
C.
Ekornes
Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
-
D.
Knute
Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
-
E.
Krasker
Krasker is a surname most notably associated with Robert Krasker, an acclaimed cinematographer known for his work on classic mid-20th-century films.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fc0cd081909e264cda686579ea |
completed | April 21, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090079c5688190a9ba9f6e8f69c64e |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090146ab948190a6c76f5c978b5268 |
completed | May 16, 2026, 11:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0902070ca081908e75dddcda808eea |
completed | May 16, 2026, 11:47 p.m. |
Created at: April 16, 2026, 12:41 p.m.