Triple
T14903130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breisach am Rhein |
E360057
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Gündlingen
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
|
E1162770
|
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: Gündlingen | Statement: [Breisach am Rhein, hasSubdivision, Gündlingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gündlingen Context triple: [Breisach am Rhein, hasSubdivision, Gündlingen]
-
A.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
B.
Lutzingen
Lutzingen is a small municipality in the Bavarian region of southern Germany, known for its rural character and location within the administrative district of Dillingen an der Donau.
-
C.
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
-
D.
Geroldswil
Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
E.
Weinfelden
Weinfelden is a town and municipality in northeastern Switzerland that serves as an important regional center in the canton of Thurgau.
- 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: Gündlingen Triple: [Breisach am Rhein, hasSubdivision, Gündlingen]
Generated description
Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gündlingen Target entity description: Gündlingen is a village and district of the town Breisach am Rhein in the state of Baden-Württemberg in southwestern Germany.
-
A.
Riedlingen
Riedlingen is a small historic town in the state of Baden-Württemberg in southern Germany, known for its well-preserved medieval old town on the Danube River.
-
B.
Lutzingen
Lutzingen is a small municipality in the Bavarian region of southern Germany, known for its rural character and location within the administrative district of Dillingen an der Donau.
-
C.
Steißlingen
Steißlingen is a municipality in the district of Konstanz in the state of Baden-Württemberg in southern Germany.
-
D.
Geroldswil
Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
-
E.
Weinfelden
Weinfelden is a town and municipality in northeastern Switzerland that serves as an important regional center in the canton of Thurgau.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60b24008190bd272c0d61329400 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d39a0908190a27f7bbaee7a04ef |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff417598a881908d906b7315dea2d6 |
completed | May 9, 2026, 2:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff41e95bf08190965a870acb72edb6 |
completed | May 9, 2026, 2:17 p.m. |
Created at: April 10, 2026, 2:11 a.m.