Triple
T12158233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wurzen |
E289633
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Sachsendorf
Sachsendorf is a locality that forms one of the subdivisions of the town of Wurzen in the German state of Saxony.
|
E979551
|
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: Sachsendorf | Statement: [Wurzen, hasSubdivision, Sachsendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sachsendorf Context triple: [Wurzen, hasSubdivision, Sachsendorf]
-
A.
Sierksdorf
Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
-
B.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
C.
Schattdorf
Schattdorf is a Swiss municipality located in the central Alpine canton of Uri.
-
D.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
E.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
- 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: Sachsendorf Triple: [Wurzen, hasSubdivision, Sachsendorf]
Generated description
Sachsendorf is a locality that forms one of the subdivisions of the town of Wurzen in the German state of Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sachsendorf Target entity description: Sachsendorf is a locality that forms one of the subdivisions of the town of Wurzen in the German state of Saxony.
-
A.
Sierksdorf
Sierksdorf is a small coastal municipality in northern Germany, known for its Baltic Sea beaches and the Hansa-Park amusement park.
-
B.
Suhrendorf
Suhrendorf is a small coastal village on the German Baltic Sea island of Ummanz, known for its rural charm and proximity to nature and water sports areas.
-
C.
Schattdorf
Schattdorf is a Swiss municipality located in the central Alpine canton of Uri.
-
D.
Hägendorf
Hägendorf is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Jura mountains.
-
E.
Friesdorf
Friesdorf is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a84236c8190baa383c950d2bd62 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62e7fc5488190a00dbc8c48db6330 |
completed | May 2, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62ef4da588190bfe5e418b8f8bf6f |
completed | May 2, 2026, 5:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.