Triple
T17764957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzburg Alps region |
E443478
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Radstadt
Radstadt is a historic alpine town in the Austrian state of Salzburg, known for its medieval city walls and role as a ski and holiday resort.
|
E1288032
|
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: Radstadt | Statement: [Salzburg Alps region, contains, Radstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radstadt Context triple: [Salzburg Alps region, contains, Radstadt]
-
A.
Markranstädt
Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
-
B.
Prichsenstadt
Prichsenstadt is a small historic town in northern Bavaria, Germany, known for its well-preserved medieval architecture and location within the Franconian wine region.
-
C.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
D.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
E.
Reichenberg
Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
- 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: Radstadt Triple: [Salzburg Alps region, contains, Radstadt]
Generated description
Radstadt is a historic alpine town in the Austrian state of Salzburg, known for its medieval city walls and role as a ski and holiday resort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radstadt Target entity description: Radstadt is a historic alpine town in the Austrian state of Salzburg, known for its medieval city walls and role as a ski and holiday resort.
-
A.
Markranstädt
Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
-
B.
Prichsenstadt
Prichsenstadt is a small historic town in northern Bavaria, Germany, known for its well-preserved medieval architecture and location within the Franconian wine region.
-
C.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
D.
Dornstadt
Dornstadt is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, located near the city of Ulm.
-
E.
Reichenberg
Reichenberg is the former German name for the city of Liberec, a major urban center in the northern Czech Republic near the border with Germany and Poland.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fb2a3c81908887d1d36aee942d |
completed | April 19, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f82fee188190a357a205f4bc82b8 |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02fa6328b0819090161648248729f1 |
completed | May 12, 2026, 10:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02faad0bb48190ac01fe6d79600e61 |
completed | May 12, 2026, 10:02 a.m. |
Created at: April 10, 2026, 10:11 a.m.