Triple
T8066196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Mittelsachsen |
E188248
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mittweida
Mittweida is a small town in the German state of Saxony, known for its university of applied sciences and historic architecture.
|
E722461
|
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: Mittweida | Statement: [District of Mittelsachsen, contains, Mittweida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mittweida Context triple: [District of Mittelsachsen, contains, Mittweida]
-
A.
Seiffen
Seiffen is a village in Germany’s Ore Mountains renowned for its traditional wooden toy-making and iconic Christmas decorations.
-
B.
Weitra
Weitra is a historic small town in Lower Austria known for its medieval architecture and one of the oldest breweries in Austria.
-
C.
Dinkelsbühl
Dinkelsbühl is a well-preserved medieval town in Bavaria, Germany, renowned for its intact city walls, historic half-timbered houses, and picturesque old town.
-
D.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
-
E.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
- 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: Mittweida Triple: [District of Mittelsachsen, contains, Mittweida]
Generated description
Mittweida is a small town in the German state of Saxony, known for its university of applied sciences and historic architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mittweida Target entity description: Mittweida is a small town in the German state of Saxony, known for its university of applied sciences and historic architecture.
-
A.
Seiffen
Seiffen is a village in Germany’s Ore Mountains renowned for its traditional wooden toy-making and iconic Christmas decorations.
-
B.
Weitra
Weitra is a historic small town in Lower Austria known for its medieval architecture and one of the oldest breweries in Austria.
-
C.
Dinkelsbühl
Dinkelsbühl is a well-preserved medieval town in Bavaria, Germany, renowned for its intact city walls, historic half-timbered houses, and picturesque old town.
-
D.
Brünnlitz
Brünnlitz is a village in the Czech Republic best known as the location of Oskar Schindler’s wartime factory where he employed and saved Jewish workers during the Holocaust.
-
E.
Vöcklabruck
Vöcklabruck is a small historic town in Upper Austria known as a regional center near the Attersee lake and the foothills of the Alps.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd6769c6948190805188b09c16bed4 |
completed | April 1, 2026, 6:43 p.m. |
| NEDg | Description generation | batch_69cd6d4fa17481909f28ad7eb9bceb42 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7da4f3a0819080eed3d03c293789 |
completed | April 1, 2026, 8:18 p.m. |
Created at: March 30, 2026, 5:26 p.m.