Triple
T17655272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blansko |
E429605
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Mitterteich
Mitterteich is a small town in Bavaria, Germany, known historically for its porcelain industry and location near the Czech border.
|
E1285707
|
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: Mitterteich | Statement: [Blansko, hasTwinTown, Mitterteich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitterteich Context triple: [Blansko, hasTwinTown, Mitterteich]
-
A.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
B.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
C.
Heroldsbach
Heroldsbach is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and local religious pilgrimage site.
-
D.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
-
E.
Tiefenbach
Tiefenbach is a village-level subdivision of the town of Braunfels in the German state of Hesse.
- 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: Mitterteich Triple: [Blansko, hasTwinTown, Mitterteich]
Generated description
Mitterteich is a small town in Bavaria, Germany, known historically for its porcelain industry and location near the Czech border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mitterteich Target entity description: Mitterteich is a small town in Bavaria, Germany, known historically for its porcelain industry and location near the Czech border.
-
A.
Wuhletal
Wuhletal is a valley landscape in Berlin shaped by the course of the Wuhle river, featuring green spaces, walking paths, and recreational areas.
-
B.
Radeberg
Radeberg is a small town in the German state of Saxony, known for its Radeberger Pilsner brewery and historic town center near Dresden.
-
C.
Heroldsbach
Heroldsbach is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and local religious pilgrimage site.
-
D.
Eschwege
Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
-
E.
Tiefenbach
Tiefenbach is a village-level subdivision of the town of Braunfels in the German state of Hesse.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3fc6e8819080098a3cd0183811 |
completed | April 19, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242e583108190b0a1ea1bfd9056ca |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a02483078d08190b58d3222d8d329d4 |
completed | May 11, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0248be559481908c691673767ee8bd |
completed | May 11, 2026, 9:23 p.m. |
Created at: April 10, 2026, 6:06 a.m.