Triple
T10988120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haßberge (district) |
E259683
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Knetzgau
Knetzgau is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
|
E944028
|
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: Knetzgau | Statement: [Haßberge (district), contains, Knetzgau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knetzgau Context triple: [Haßberge (district), contains, Knetzgau]
-
A.
Rheineck
Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
-
B.
Kühnhausen
Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
E.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg 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: Knetzgau Triple: [Haßberge (district), contains, Knetzgau]
Generated description
Knetzgau is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knetzgau Target entity description: Knetzgau is a municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
-
A.
Rheineck
Rheineck is a municipality in the canton of St. Gallen in northeastern Switzerland, situated near the Rhine River and close to the Austrian border.
-
B.
Kühnhausen
Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
-
C.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
D.
Waidberg
Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
-
E.
Gernsbach
Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b574d08190adec34b814a26437 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018324bf88190bcd2bf168b1065d3 |
completed | April 28, 2026, 2:15 a.m. |
| NEDg | Description generation | batch_69f01d7ab930819095eaae226ab55b80 |
completed | April 28, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f043ddbfe481908e0c439dbd3e944f |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 8, 2026, 9:24 p.m.