Triple
T17972299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franconian Switzerland |
E449375
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Waischenfeld
Waischenfeld is a small historic town in northern Bavaria, Germany, known for its picturesque setting in the Franconian Switzerland region and its medieval castle ruins.
|
E1299545
|
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: Waischenfeld | Statement: [Franconian Switzerland, hasTown, Waischenfeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waischenfeld Context triple: [Franconian Switzerland, hasTown, Waischenfeld]
-
A.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
B.
Wiesenberg
Wiesenberg is a town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of pianist Alfred Brendel.
-
C.
Kurzberg
Kurzberg is a surname of German origin, likely derived from geographic or topographic roots.
-
D.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
E.
Niederfeld
Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
- 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: Waischenfeld Triple: [Franconian Switzerland, hasTown, Waischenfeld]
Generated description
Waischenfeld is a small historic town in northern Bavaria, Germany, known for its picturesque setting in the Franconian Switzerland region and its medieval castle ruins.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waischenfeld Target entity description: Waischenfeld is a small historic town in northern Bavaria, Germany, known for its picturesque setting in the Franconian Switzerland region and its medieval castle ruins.
-
A.
Weidenau
Weidenau is a district of the city of Siegen in North Rhine-Westphalia, Germany.
-
B.
Wiesenberg
Wiesenberg is a town in what is now the Czech Republic, historically part of the Austro-Hungarian Empire and known as the birthplace of pianist Alfred Brendel.
-
C.
Kurzberg
Kurzberg is a surname of German origin, likely derived from geographic or topographic roots.
-
D.
Geisenfeld
Geisenfeld is a small town in Bavaria, Germany, known as the birthplace of prominent early Nazi politician Gregor Strasser.
-
E.
Niederfeld
Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fb58c481909726d6f916f6f646 |
completed | April 19, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337a518908190889e1d41bc65a507 |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a0338a3227c8190bb2d54996a8e875e |
completed | May 12, 2026, 2:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0338e0a7908190a44adb01628c6f25 |
completed | May 12, 2026, 2:27 p.m. |
Created at: April 10, 2026, 10:22 a.m.