Triple
T16694560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enz Valley |
E405680
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Calmbach
Calmbach is a small town in Germany’s Black Forest region, known for its scenic location in the Enz Valley and traditional spa and nature tourism.
|
E1254361
|
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: Calmbach | Statement: [Enz Valley, hasTown, Calmbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calmbach Context triple: [Enz Valley, hasTown, Calmbach]
-
A.
Allensbach
Allensbach is a municipality in the German state of Baden-Württemberg, situated on the shores of Lake Constance and known for hosting the Allensbach Institute for Public Opinion Research.
-
B.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
-
E.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, 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: Calmbach Triple: [Enz Valley, hasTown, Calmbach]
Generated description
Calmbach is a small town in Germany’s Black Forest region, known for its scenic location in the Enz Valley and traditional spa and nature tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calmbach Target entity description: Calmbach is a small town in Germany’s Black Forest region, known for its scenic location in the Enz Valley and traditional spa and nature tourism.
-
A.
Allensbach
Allensbach is a municipality in the German state of Baden-Württemberg, situated on the shores of Lake Constance and known for hosting the Allensbach Institute for Public Opinion Research.
-
B.
Haselbach
Haselbach is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
C.
Faulbach
Faulbach is a district (Ortsteil) of the town of Hadamar in the Limburg-Weilburg district of Hesse, Germany.
-
D.
Bergneustadt
Bergneustadt is a small town in North Rhine-Westphalia, Germany, known for its location in the hilly Oberbergischer Kreis region and its traditional half-timbered architecture.
-
E.
Brenkhausen
Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eacfa788190a8d2058f96c0d445 |
completed | April 18, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01481dfcdc8190818456f89c285df4 |
completed | May 11, 2026, 3:08 a.m. |
| NEDg | Description generation | batch_6a0149a552c88190a4f615f67459a705 |
completed | May 11, 2026, 3:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a014a095934819097be0ad099bcde66 |
completed | May 11, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:19 a.m.