Triple
T11389111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchfeld |
E269785
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Gänserndorf
Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
|
E926955
|
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: Gänserndorf | Statement: [Marchfeld, nearbyCity, Gänserndorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gänserndorf Context triple: [Marchfeld, nearbyCity, Gänserndorf]
-
A.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
C.
Maffersdorf
Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
-
D.
Jägerndorf
Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
-
E.
Berndorf
Berndorf is a small industrial town in Lower Austria known for its historic metalworking industry and characteristic workers’ housing estates.
- 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: Gänserndorf Triple: [Marchfeld, nearbyCity, Gänserndorf]
Generated description
Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gänserndorf Target entity description: Gänserndorf is a town in Lower Austria that serves as a regional center on the eastern edge of the Marchfeld plain, northeast of Vienna.
-
A.
Gneixendorf
Gneixendorf is a village and cadastral community that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Kiliansdorf
Kiliansdorf is a village and district of the town of Roth in the Bavarian region of Germany.
-
C.
Maffersdorf
Maffersdorf is a former village in the Liberec region of what is now the Czech Republic, historically part of Bohemia and known as the birthplace of automotive engineer Ferdinand Porsche.
-
D.
Jägerndorf
Jägerndorf is a historic Silesian town (now Krnov in the Czech Republic) known for its strategic and political significance in Central European history.
-
E.
Berndorf
Berndorf is a small industrial town in Lower Austria known for its historic metalworking industry and characteristic workers’ housing estates.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc389d4c81909515a5c8b0099c36 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8cc338081908da977b5b7c6bef3 |
completed | April 20, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:34 p.m.