Triple
T21382656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiesloch |
E527400
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Schatthausen
Schatthausen is a village district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, Germany.
|
E1538819
|
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: Schatthausen | Statement: [Wiesloch, hasDistrict, Schatthausen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schatthausen Context triple: [Wiesloch, hasDistrict, Schatthausen]
-
A.
Leutershausen
Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
-
B.
Wolpertshausen
Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
-
C.
Landshausen
Landshausen is a village-level subdivision of the municipality of Syrgenstein in the Bavarian district of Dillingen, Germany.
-
D.
Seifertshausen
Seifertshausen is a village in the German state of Hesse that forms part of the town of Rotenburg an der Fulda.
-
E.
Altshausen
Altshausen is a small historic town in the German state of Baden-Württemberg, known for its former ducal residence and picturesque setting in Upper Swabia.
- 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: Schatthausen Triple: [Wiesloch, hasDistrict, Schatthausen]
Generated description
Schatthausen is a village district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schatthausen Target entity description: Schatthausen is a village district of the town of Wiesloch in the Rhine-Neckar region of Baden-Württemberg, Germany.
-
A.
Leutershausen
Leutershausen is a historic small town in Bavaria, Germany, known for its well-preserved medieval character and traditional Franconian architecture.
-
B.
Wolpertshausen
Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
-
C.
Landshausen
Landshausen is a village-level subdivision of the municipality of Syrgenstein in the Bavarian district of Dillingen, Germany.
-
D.
Seifertshausen
Seifertshausen is a village in the German state of Hesse that forms part of the town of Rotenburg an der Fulda.
-
E.
Altshausen
Altshausen is a small historic town in the German state of Baden-Württemberg, known for its former ducal residence and picturesque setting in Upper Swabia.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0d1fa1c8190b3374e0bb3a971fc |
completed | April 22, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b123d57b08190b6cbdd33574bccee |
completed | May 18, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_6a0b148bfce881908e394c41f069cd63 |
completed | May 18, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1514991c8190b1c26422aa7d68fd |
completed | May 18, 2026, 1:33 p.m. |
Created at: April 16, 2026, 5:12 p.m.