Triple
T19484162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rems-Murr-Kreis |
E487464
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Berglen
Berglen is a small municipality in the Rems-Murr district of the German state of Baden-Württemberg, known for its rural character and proximity to the Stuttgart metropolitan area.
|
E1378475
|
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: Berglen | Statement: [Rems-Murr-Kreis, hasMunicipality, Berglen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berglen Context triple: [Rems-Murr-Kreis, hasMunicipality, Berglen]
-
A.
Dverberg
Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
-
B.
Bergharen
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
-
C.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
D.
Ranselberg
Ranselberg is a locality or district that forms part of the town of Lorch in Germany.
-
E.
Bosseborn
Bosseborn is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
- 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: Berglen Triple: [Rems-Murr-Kreis, hasMunicipality, Berglen]
Generated description
Berglen is a small municipality in the Rems-Murr district of the German state of Baden-Württemberg, known for its rural character and proximity to the Stuttgart metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berglen Target entity description: Berglen is a small municipality in the Rems-Murr district of the German state of Baden-Württemberg, known for its rural character and proximity to the Stuttgart metropolitan area.
-
A.
Dverberg
Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
-
B.
Bergharen
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
-
C.
Belpberg
Belpberg is a small former municipality in the canton of Bern, Switzerland, situated on a plateau above the Gürbetal valley and known for its rural, scenic landscape.
-
D.
Ranselberg
Ranselberg is a locality or district that forms part of the town of Lorch in Germany.
-
E.
Bosseborn
Bosseborn is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343dcc748190b0df816e6ab4cafb |
completed | April 20, 2026, 2:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074059d9948190bb54e2df1713927b |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a07411bd900819099237aaee874411b |
completed | May 15, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074197aa14819096a74aab7bca9e3c |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, 1:39 p.m.