Triple
T18128383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landkreis Neustadt an der Aisch-Bad Windsheim |
E433942
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Dietersheim
Dietersheim is a small municipality in the Franconian region of northern Bavaria, Germany, characterized by its rural setting and agricultural surroundings.
|
E1327246
|
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: Dietersheim | Statement: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Dietersheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dietersheim Context triple: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Dietersheim]
-
A.
Dietersheim
Dietersheim is a district of the town Bingen am Rhein in Rhineland-Palatinate, Germany.
-
B.
Dettenheim
Dettenheim is a municipality in the Karlsruhe district of Baden-Württemberg, Germany, situated along the Pfinz river.
-
C.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Dietramszell
Dietramszell is a rural Bavarian municipality in southern Germany, known for its scenic countryside and historic monastery complex.
- 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: Dietersheim Triple: [Landkreis Neustadt an der Aisch-Bad Windsheim, hasMunicipality, Dietersheim]
Generated description
Dietersheim is a small municipality in the Franconian region of northern Bavaria, Germany, characterized by its rural setting and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dietersheim Target entity description: Dietersheim is a small municipality in the Franconian region of northern Bavaria, Germany, characterized by its rural setting and agricultural surroundings.
-
A.
Dietersheim
Dietersheim is a district of the town Bingen am Rhein in Rhineland-Palatinate, Germany.
-
B.
Dettenheim
Dettenheim is a municipality in the Karlsruhe district of Baden-Württemberg, Germany, situated along the Pfinz river.
-
C.
Entzheim
Entzheim is a commune in northeastern France, near Strasbourg, best known for hosting Strasbourg Airport.
-
D.
Deisenhausen
Deisenhausen is a small municipality in the Bavarian region of Swabia in southern Germany.
-
E.
Dietramszell
Dietramszell is a rural Bavarian municipality in southern Germany, known for its scenic countryside and historic monastery complex.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddf061b48190b67356f1c266b80a |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04712799948190b326d082cf1b25fb |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0472626b9c8190b23679a60f927772 |
completed | May 13, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0473d333548190a9eada899aacac52 |
completed | May 13, 2026, 12:51 p.m. |
Created at: April 10, 2026, 10:29 a.m.