Triple
T9350286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Bad Tölz-Wolfratshausen |
E224997
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Reichersbeuern
Reichersbeuern is a small Bavarian municipality in southern Germany known for its rural character and Alpine foothill setting.
|
E792590
|
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: Reichersbeuern | Statement: [District of Bad Tölz-Wolfratshausen, containsMunicipality, Reichersbeuern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reichersbeuern Context triple: [District of Bad Tölz-Wolfratshausen, containsMunicipality, Reichersbeuern]
-
A.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
B.
Röthenbach
Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
-
C.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
D.
Beckenried
Beckenried is a Swiss lakeside municipality and village situated on the shores of Lake Lucerne in the canton of Nidwalden.
-
E.
Böheimkirchen
Böheimkirchen is a market town in Lower Austria known for its rural character and proximity to the state capital, St. Pölten.
- 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: Reichersbeuern Triple: [District of Bad Tölz-Wolfratshausen, containsMunicipality, Reichersbeuern]
Generated description
Reichersbeuern is a small Bavarian municipality in southern Germany known for its rural character and Alpine foothill setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reichersbeuern Target entity description: Reichersbeuern is a small Bavarian municipality in southern Germany known for its rural character and Alpine foothill setting.
-
A.
Eberhardzell
Eberhardzell is a rural municipality in the district of Biberach in the German state of Baden-Württemberg.
-
B.
Röthenbach
Röthenbach is a station in Nuremberg, Germany that serves as a terminus on the city’s U-Bahn rapid transit network.
-
C.
Bergrheinfeld
Bergrheinfeld is a municipality in the Schweinfurt district of northern Bavaria, Germany, known for its residential character and proximity to the industrial city of Schweinfurt.
-
D.
Beckenried
Beckenried is a Swiss lakeside municipality and village situated on the shores of Lake Lucerne in the canton of Nidwalden.
-
E.
Böheimkirchen
Böheimkirchen is a market town in Lower Austria known for its rural character and proximity to the state capital, St. Pölten.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f9248c08190a7bb40feec2eb217 |
completed | April 1, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e43c31008190b542a9c5aa33f30e |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e587586c8190a73ce417f0b5adec |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e5eb2ce88190973acc2cc8ce254f |
completed | April 4, 2026, 10:20 a.m. |
Created at: March 30, 2026, 7:41 p.m.