Triple
T16479780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breisgau-Hochschwarzwald |
E400283
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ihringen
Ihringen is a wine-growing municipality in southwestern Germany, located in the Kaiserstuhl region of Baden-Württemberg near the French border.
|
E1215138
|
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: Ihringen | Statement: [Breisgau-Hochschwarzwald, contains, Ihringen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ihringen Context triple: [Breisgau-Hochschwarzwald, contains, Ihringen]
-
A.
Wehringen
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
-
B.
Öhringen
Öhringen is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and role as an economic and cultural center in the Hohenlohe region.
-
C.
Härkingen
Härkingen is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
-
D.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
E.
Ehingen
Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
- 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: Ihringen Triple: [Breisgau-Hochschwarzwald, contains, Ihringen]
Generated description
Ihringen is a wine-growing municipality in southwestern Germany, located in the Kaiserstuhl region of Baden-Württemberg near the French border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ihringen Target entity description: Ihringen is a wine-growing municipality in southwestern Germany, located in the Kaiserstuhl region of Baden-Württemberg near the French border.
-
A.
Wehringen
Wehringen is a small municipality in Bavaria, Germany, situated in the region surrounding the city of Augsburg.
-
B.
Öhringen
Öhringen is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and role as an economic and cultural center in the Hohenlohe region.
-
C.
Härkingen
Härkingen is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
-
D.
Höchheim
Höchheim is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
E.
Ehingen
Ehingen is a town in the state of Baden-Württemberg in southern Germany, known for its historic center and location along the Danube River.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e01f6c88190b75a0d6c94786426 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f60ea8881908f073a28c407a1f4 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a00513b6fcc8190a548b30cb7b4b67f |
completed | May 10, 2026, 9:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051def1d48190b40f55c40ab269d2 |
completed | May 10, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5:13 a.m.