Triple
T6908819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wittmund district |
E159879
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Werdum
Werdum is a small village and tourist destination in East Frisia in northwestern Germany, known for its rural charm and proximity to the North Sea coast.
|
E627984
|
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: Werdum | Statement: [Wittmund district, contains, Werdum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werdum Context triple: [Wittmund district, contains, Werdum]
-
A.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
B.
Daymian
Daymian is a masculine given name, typically considered a modern spelling variant of Damian.
-
C.
Dommoc
Dommoc was an early medieval ecclesiastical and likely political center of the Anglo-Saxon Kingdom of the East Angles, traditionally identified with a site on the Suffolk coast in England.
-
D.
Durnan
Durnan is a surname most notably associated with Bill Durnan, a Hall of Fame Canadian ice hockey goaltender who starred for the Montreal Canadiens in the 1940s.
-
E.
Rodach
The Rodach is a river in Germany that flows through northern Bavaria and Thuringia before joining the Main River.
- 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: Werdum Triple: [Wittmund district, contains, Werdum]
Generated description
Werdum is a small village and tourist destination in East Frisia in northwestern Germany, known for its rural charm and proximity to the North Sea coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Werdum Target entity description: Werdum is a small village and tourist destination in East Frisia in northwestern Germany, known for its rural charm and proximity to the North Sea coast.
-
A.
Durkan
Durkan is a surname most notably associated with Jenny Durkan, the former mayor of Seattle and an American attorney and politician.
-
B.
Daymian
Daymian is a masculine given name, typically considered a modern spelling variant of Damian.
-
C.
Dommoc
Dommoc was an early medieval ecclesiastical and likely political center of the Anglo-Saxon Kingdom of the East Angles, traditionally identified with a site on the Suffolk coast in England.
-
D.
Durnan
Durnan is a surname most notably associated with Bill Durnan, a Hall of Fame Canadian ice hockey goaltender who starred for the Montreal Canadiens in the 1940s.
-
E.
Rodach
The Rodach is a river in Germany that flows through northern Bavaria and Thuringia before joining the Main River.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9be98748190b5cb698e66e3aa42 |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c749076f6c819088b0b40dd3e208b0 |
completed | March 28, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c74c274258819099913ac5610730ac |
completed | March 28, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74cca47b88190867550802db43ef0 |
completed | March 28, 2026, 3:36 a.m. |
Created at: March 27, 2026, 2:25 p.m.