Triple
T9826858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krems an der Donau |
E238677
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
|
E889391
|
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: Gneixendorf | Statement: [Krems an der Donau, hasPart, Gneixendorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gneixendorf Context triple: [Krems an der Donau, hasPart, Gneixendorf]
-
A.
Pottendorf
Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
-
B.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
D.
Eugendorf
Eugendorf is a market town in the Austrian state of Salzburg, known for its proximity to the city of Salzburg and its location in the scenic Salzkammergut region.
-
E.
Ebreichsdorf
Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
- 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: Gneixendorf Triple: [Krems an der Donau, hasPart, Gneixendorf]
Generated description
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gneixendorf Target entity description: Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
A.
Pottendorf
Pottendorf is a market town in Lower Austria known for its historic castle and location within the Baden district.
-
B.
Adendorf
Adendorf is a village-sized district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
D.
Eugendorf
Eugendorf is a market town in the Austrian state of Salzburg, known for its proximity to the city of Salzburg and its location in the scenic Salzkammergut region.
-
E.
Ebreichsdorf
Ebreichsdorf is a small town in Lower Austria known for its equestrian facilities and proximity to Vienna.
- 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_69deafff4b8c819099d47b48773c3629 |
completed | April 14, 2026, 9:22 p.m. |
| NEDg | Description generation | batch_69dec2534728819095b3693120772da9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec79b1b548190a74312284f98551c |
completed | April 14, 2026, 11:02 p.m. |
Created at: March 30, 2026, 8:32 p.m.