Triple
T16561014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kraichgau |
E402336
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kraichtal
Kraichtal is a town in the Karlsruhe district of Baden-Württemberg, Germany, formed from several formerly independent villages in the hilly Kraichgau region.
|
E1225403
|
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: Kraichtal | Statement: [Kraichgau, contains, Kraichtal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kraichtal Context triple: [Kraichgau, contains, Kraichtal]
-
A.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
B.
Lautertal
Lautertal is a municipality in the Bavarian region of Germany, situated within the Coburg district.
-
C.
Elztal
Elztal is a municipality in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its rural character and location in the Elz river valley.
-
D.
Reppischtal
Reppischtal is a scenic valley in the canton of Zurich, Switzerland, known for its natural landscapes shaped by the Reppisch river and popular for hiking and outdoor recreation.
-
E.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
- 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: Kraichtal Triple: [Kraichgau, contains, Kraichtal]
Generated description
Kraichtal is a town in the Karlsruhe district of Baden-Württemberg, Germany, formed from several formerly independent villages in the hilly Kraichgau region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kraichtal Target entity description: Kraichtal is a town in the Karlsruhe district of Baden-Württemberg, Germany, formed from several formerly independent villages in the hilly Kraichgau region.
-
A.
Klostertal
Klostertal is a scenic alpine valley in the Austrian state of Vorarlberg, known for its mountain landscapes, ski areas, and access to the Arlberg region.
-
B.
Lautertal
Lautertal is a municipality in the Bavarian region of Germany, situated within the Coburg district.
-
C.
Elztal
Elztal is a municipality in the Neckar-Odenwald district of Baden-Württemberg, Germany, known for its rural character and location in the Elz river valley.
-
D.
Reppischtal
Reppischtal is a scenic valley in the canton of Zurich, Switzerland, known for its natural landscapes shaped by the Reppisch river and popular for hiking and outdoor recreation.
-
E.
Löstertal
Löstertal is a locality within the town of Wadern in the Saarland region of Germany, known for its rural character and scenic surroundings.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ae0fb08190b809cd26b2e413aa |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00853af11881908e0e61fb352e2e87 |
completed | May 10, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085f2fd2881908b31bd57790acb74 |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 5:15 a.m.