Triple
T10095824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Møn |
E215862
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Damsholte
Damsholte is a small village on the Danish island of Møn, known for its rural charm and historic church.
|
E854758
|
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: Damsholte | Statement: [Møn, hasVillage, Damsholte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damsholte Context triple: [Møn, hasVillage, Damsholte]
-
A.
Thannhausen
Thannhausen is a small town in the Bavarian region of Swabia in southern Germany.
-
B.
Rhauderfehn
Rhauderfehn is a municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its origins as a peat colony and its characteristic canal landscape.
-
C.
Hohenmölsen
Hohenmölsen is a small town in the German state of Saxony-Anhalt, historically shaped by lignite mining and located south of Leipzig.
-
D.
Friedrichsruh
Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
-
E.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
- 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: Damsholte Triple: [Møn, hasVillage, Damsholte]
Generated description
Damsholte is a small village on the Danish island of Møn, known for its rural charm and historic church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Damsholte Target entity description: Damsholte is a small village on the Danish island of Møn, known for its rural charm and historic church.
-
A.
Thannhausen
Thannhausen is a small town in the Bavarian region of Swabia in southern Germany.
-
B.
Rhauderfehn
Rhauderfehn is a municipality in the East Frisian region of Lower Saxony in northwestern Germany, known for its origins as a peat colony and its characteristic canal landscape.
-
C.
Hohenmölsen
Hohenmölsen is a small town in the German state of Saxony-Anhalt, historically shaped by lignite mining and located south of Leipzig.
-
D.
Friedrichsruh
Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
-
E.
Breckerfeld
Breckerfeld is a small town in North Rhine-Westphalia, Germany, known for its rural character and location in the hilly, forested region of the Sauerland.
- 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_69d71c559910819092b0eae9c05aa7dc |
completed | April 9, 2026, 3:26 a.m. |
| NEDg | Description generation | batch_69d73180d90481908f1b4768230edd36 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7326b14988190bff33dc01e690707 |
completed | April 9, 2026, 5 a.m. |
Created at: March 30, 2026, 9:02 p.m.