Triple
T20135120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wichtrach |
E491004
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Niedermuhlern
Niedermuhlern is a small rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and proximity to the city of Bern.
|
E1413766
|
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: Niedermuhlern | Statement: [Wichtrach, hasNeighboringMunicipality, Niedermuhlern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niedermuhlern Context triple: [Wichtrach, hasNeighboringMunicipality, Niedermuhlern]
-
A.
Obermühlhausen
Obermühlhausen is a small village in Bavaria, Germany, that forms part of the municipality of Dießen am Ammersee.
-
B.
Mühldorf
Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
-
C.
Mühlingen
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
D.
Melchenbühl
Melchenbühl is a small locality within the municipality of Muri bei Bern in the canton of Bern, Switzerland.
-
E.
Niedernhausen
Niedernhausen is a municipality in the Rheingau-Taunus district of Hesse, Germany, known for its wooded surroundings in the Taunus hills and convenient rail and road links to Wiesbaden and Frankfurt.
- 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: Niedermuhlern Triple: [Wichtrach, hasNeighboringMunicipality, Niedermuhlern]
Generated description
Niedermuhlern is a small rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and proximity to the city of Bern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Niedermuhlern Target entity description: Niedermuhlern is a small rural municipality in the canton of Bern in Switzerland, known for its agricultural landscape and proximity to the city of Bern.
-
A.
Obermühlhausen
Obermühlhausen is a small village in Bavaria, Germany, that forms part of the municipality of Dießen am Ammersee.
-
B.
Mühldorf
Mühldorf is a municipality in the Austrian state of Carinthia, known for its Alpine setting and proximity to the Drava River.
-
C.
Mühlingen
Mühlingen is a small municipality in the state of Baden-Württemberg in southern Germany.
-
D.
Melchenbühl
Melchenbühl is a small locality within the municipality of Muri bei Bern in the canton of Bern, Switzerland.
-
E.
Niedernhausen
Niedernhausen is a municipality in the Rheingau-Taunus district of Hesse, Germany, known for its wooded surroundings in the Taunus hills and convenient rail and road links to Wiesbaden and Frankfurt.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66766e46c81908721fd47066dc9f8 |
completed | April 20, 2026, 5:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de255b08190b50a3cb5e4da4973 |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082ef2cf208190aea9cd29b15b35dd |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0830ccfdd881909cbf1c3fd2342821 |
completed | May 16, 2026, 8:54 a.m. |
Created at: April 11, 2026, 11:32 p.m.