Triple
T17148000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isny im Allgäu |
E416143
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object |
Argenbühl
Argenbühl is a rural municipality in the district of Ravensburg in Baden-Württemberg, Germany, situated in the scenic Allgäu region.
|
E1278464
|
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: Argenbühl | Statement: [Isny im Allgäu, hasNeighbouringMunicipality, Argenbühl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argenbühl Context triple: [Isny im Allgäu, hasNeighbouringMunicipality, Argenbühl]
-
A.
Meisenbühl
Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
-
B.
Sonnenbühl
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
-
C.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
D.
Steinbühl
Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
-
E.
Altenberge
Altenberge is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
- 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: Argenbühl Triple: [Isny im Allgäu, hasNeighbouringMunicipality, Argenbühl]
Generated description
Argenbühl is a rural municipality in the district of Ravensburg in Baden-Württemberg, Germany, situated in the scenic Allgäu region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Argenbühl Target entity description: Argenbühl is a rural municipality in the district of Ravensburg in Baden-Württemberg, Germany, situated in the scenic Allgäu region.
-
A.
Meisenbühl
Meisenbühl is a locality or neighborhood that forms part of the municipality of Oberkirch.
-
B.
Sonnenbühl
Sonnenbühl is a municipality in the Swabian Alb region of Baden-Württemberg, Germany, known for its karst landscapes, caves, and outdoor recreation.
-
C.
Kreuth
Kreuth is a Bavarian municipality in southern Germany, known for its alpine landscape and location near Lake Tegernsee in the Bavarian Alps.
-
D.
Steinbühl
Steinbühl is a district of the German city of Nuremberg, known as an urban residential area served by the Nürnberg-Steinbühl railway station.
-
E.
Altenberge
Altenberge is a small municipality in North Rhine-Westphalia, Germany, known for its rural character and proximity to the city of Münster.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f404f0e88190b7ac9ac523fdc7da |
completed | April 18, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e8046244819082035ede10b30932 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01ed2f47508190a498d3d4413a0142 |
completed | May 11, 2026, 2:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ee1e58908190896021defae93946 |
completed | May 11, 2026, 2:56 p.m. |
Created at: April 10, 2026, 5:36 a.m.