Triple
T15875736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kocher |
E384948
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Künzelsau
Künzelsau is a small town in the Hohenlohe district of Baden-Württemberg, Germany, known as the headquarters of the global tool and hardware company Würth.
|
E1212117
|
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: Künzelsau | Statement: [Kocher, flowsThrough, Künzelsau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Künzelsau Context triple: [Kocher, flowsThrough, Künzelsau]
-
A.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
B.
Odelzhausen
Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
-
C.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
D.
Kunreuth
Kunreuth is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and historic castle.
-
E.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
- 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: Künzelsau Triple: [Kocher, flowsThrough, Künzelsau]
Generated description
Künzelsau is a small town in the Hohenlohe district of Baden-Württemberg, Germany, known as the headquarters of the global tool and hardware company Würth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Künzelsau Target entity description: Künzelsau is a small town in the Hohenlohe district of Baden-Württemberg, Germany, known as the headquarters of the global tool and hardware company Würth.
-
A.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
-
B.
Odelzhausen
Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
-
C.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
D.
Kunreuth
Kunreuth is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and historic castle.
-
E.
Steinlach
Steinlach is a small river in the German state of Baden-Württemberg that flows through the city of Tübingen before joining the Neckar.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fcffbc8190ba6d133107b83a7f |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c4303888190a93830ef534715ae |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003ec3c3c481909f2ad743b3cb486e |
completed | May 10, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003f300e688190a12352fef2f801f9 |
completed | May 10, 2026, 8:17 a.m. |
Created at: April 10, 2026, 4:51 a.m.