Triple
T19484161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rems-Murr-Kreis |
E487464
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Alfdorf
Alfdorf is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the forested Swabian-Franconian region.
|
E1378474
|
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: Alfdorf | Statement: [Rems-Murr-Kreis, hasMunicipality, Alfdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfdorf Context triple: [Rems-Murr-Kreis, hasMunicipality, Alfdorf]
-
A.
Angelburg
Angelburg is a small municipality in the Marburg-Biedenkopf district in the state of Hesse, central Germany.
-
B.
Siegsdorf
Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
-
C.
Frohnleiten
Frohnleiten is a small Austrian town in the state of Styria, known for its picturesque setting along the Mur River and its historic town center.
-
D.
Nürensdorf
Nürensdorf is a municipality in the canton of Zurich in northern Switzerland, situated near Zurich Airport and characterized by its semi-rural residential setting.
-
E.
Köstendorf
Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
- 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: Alfdorf Triple: [Rems-Murr-Kreis, hasMunicipality, Alfdorf]
Generated description
Alfdorf is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the forested Swabian-Franconian region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfdorf Target entity description: Alfdorf is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the forested Swabian-Franconian region.
-
A.
Angelburg
Angelburg is a small municipality in the Marburg-Biedenkopf district in the state of Hesse, central Germany.
-
B.
Siegsdorf
Siegsdorf is a Bavarian town in southeastern Germany known for its scenic Alpine surroundings and proximity to the Chiemsee lake.
-
C.
Frohnleiten
Frohnleiten is a small Austrian town in the state of Styria, known for its picturesque setting along the Mur River and its historic town center.
-
D.
Nürensdorf
Nürensdorf is a municipality in the canton of Zurich in northern Switzerland, situated near Zurich Airport and characterized by its semi-rural residential setting.
-
E.
Köstendorf
Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
- 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.