Triple
T10095820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Møn |
E215862
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Stege
Stege is the main town on the Danish island of Møn, known for its historic center and coastal setting.
|
E841319
|
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: Stege | Statement: [Møn, hasTown, Stege]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stege Context triple: [Møn, hasTown, Stege]
-
A.
Stegen
Stegen is a small village in Bavaria, Germany, situated on the shores of the Ammersee and known for its lakeside recreation and boating.
-
B.
Stiege
Stiege is a small village in the Harz region of Saxony-Anhalt, Germany, now part of the town of Oberharz am Brocken.
-
C.
Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
-
D.
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
-
E.
Striegistal
Striegistal is a municipality in the district of Mittelsachsen in the German state of Saxony, known for its rural landscape and small villages.
- 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: Stege Triple: [Møn, hasTown, Stege]
Generated description
Stege is the main town on the Danish island of Møn, known for its historic center and coastal setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stege Target entity description: Stege is the main town on the Danish island of Møn, known for its historic center and coastal setting.
-
A.
Stegen
Stegen is a small village in Bavaria, Germany, situated on the shores of the Ammersee and known for its lakeside recreation and boating.
-
B.
Stiege
Stiege is a small village in the Harz region of Saxony-Anhalt, Germany, now part of the town of Oberharz am Brocken.
-
C.
Steng
Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
-
D.
Burgstaaken
Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
-
E.
Striegistal
Striegistal is a municipality in the district of Mittelsachsen in the German state of Saxony, known for its rural landscape and small villages.
- 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0798c248190af675e30e280daa8 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6b8d604819094db099981219e72 |
completed | April 5, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_69d2b8a728bc8190b9baf93a40c00642 |
completed | April 5, 2026, 7:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b90a1de88190b7c8cf6356ffc376 |
completed | April 5, 2026, 7:33 p.m. |
Created at: March 30, 2026, 9:02 p.m.