Triple
T9826856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krems an der Donau |
E238677
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Rehberg
Rehberg is a district of the Austrian city Krems an der Donau, known for its historic character and location in the Wachau cultural landscape.
|
E835608
|
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: Rehberg | Statement: [Krems an der Donau, hasPart, Rehberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rehberg Context triple: [Krems an der Donau, hasPart, Rehberg]
-
A.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
B.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
C.
Reinsberg
Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
-
D.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
E.
Hüttenberg
Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
- 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: Rehberg Triple: [Krems an der Donau, hasPart, Rehberg]
Generated description
Rehberg is a district of the Austrian city Krems an der Donau, known for its historic character and location in the Wachau cultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rehberg Target entity description: Rehberg is a district of the Austrian city Krems an der Donau, known for its historic character and location in the Wachau cultural landscape.
-
A.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
-
B.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
C.
Reinsberg
Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
-
D.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
E.
Hüttenberg
Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb324e7848190b9424a78ca653afe |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269b54d04819096ddc9f16a6db17b |
completed | April 5, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_69d26b3e1b948190a76cf7ad91a1e0a5 |
completed | April 5, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c0c9ee88190867f8531e9ffbf27 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:32 p.m.