Triple
T20236196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerstetten |
E498153
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Gussenstadt
Gussenstadt is a village in the German state of Baden-Württemberg that forms one of the districts of the municipality of Gerstetten.
|
E1419753
|
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: Gussenstadt | Statement: [Gerstetten, hasSubdivision, Gussenstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gussenstadt Context triple: [Gerstetten, hasSubdivision, Gussenstadt]
-
A.
Burgkunstadt
Burgkunstadt is a small Bavarian town in northern Germany known for its historic center and location in the Upper Franconia region.
-
B.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
C.
Großeibstadt
Großeibstadt is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and Franconian village setting.
-
D.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
E.
Gunzenhausen
Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
- 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: Gussenstadt Triple: [Gerstetten, hasSubdivision, Gussenstadt]
Generated description
Gussenstadt is a village in the German state of Baden-Württemberg that forms one of the districts of the municipality of Gerstetten.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gussenstadt Target entity description: Gussenstadt is a village in the German state of Baden-Württemberg that forms one of the districts of the municipality of Gerstetten.
-
A.
Burgkunstadt
Burgkunstadt is a small Bavarian town in northern Germany known for its historic center and location in the Upper Franconia region.
-
B.
Günsberg
Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
-
C.
Großeibstadt
Großeibstadt is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany, known for its rural character and Franconian village setting.
-
D.
Burgstädt
Burgstädt is a small town in the German state of Saxony, known for its traditional architecture and location near the city of Chemnitz.
-
E.
Gunzenhausen
Gunzenhausen is a historic town in Bavaria, Germany, known for its location on the Altmühl River and as a gateway to the Franconian Lake District.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716a5af0819095ea419a4d1f0d1d |
completed | April 20, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b90635c8190b7452042a4dcc271 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084d86121c8190bba37790a114cfae |
completed | May 16, 2026, 10:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084dded4908190a63889b4c382d76f |
completed | May 16, 2026, 10:58 a.m. |
Created at: April 11, 2026, 11:40 p.m.