Triple
T13662359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Xaver Süssmayr |
E327028
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Schwanenstadt
Schwanenstadt is a small Austrian town in the state of Upper Austria, known as the birthplace of composer Franz Xaver Süssmayr.
|
E1054020
|
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: Schwanenstadt | Statement: [Franz Xaver Süssmayr, placeOfBirth, Schwanenstadt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schwanenstadt Context triple: [Franz Xaver Süssmayr, placeOfBirth, Schwanenstadt]
-
A.
Käthchenstadt
Käthchenstadt is a regional nickname for the German city of Heilbronn, referencing the famous play "Das Käthchen von Heilbronn" by Heinrich von Kleist.
-
B.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Kaufungen
Kaufungen is a small settlement located in the historical region of Westphalia in western Germany.
-
D.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
E.
Lilienthal
Lilienthal is a German-origin surname borne by various notable individuals, including figures in aviation, science, and public service.
- 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: Schwanenstadt Triple: [Franz Xaver Süssmayr, placeOfBirth, Schwanenstadt]
Generated description
Schwanenstadt is a small Austrian town in the state of Upper Austria, known as the birthplace of composer Franz Xaver Süssmayr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schwanenstadt Target entity description: Schwanenstadt is a small Austrian town in the state of Upper Austria, known as the birthplace of composer Franz Xaver Süssmayr.
-
A.
Käthchenstadt
Käthchenstadt is a regional nickname for the German city of Heilbronn, referencing the famous play "Das Käthchen von Heilbronn" by Heinrich von Kleist.
-
B.
Dinkelscherben
Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
-
C.
Kaufungen
Kaufungen is a small settlement located in the historical region of Westphalia in western Germany.
-
D.
Seelingstädt
Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
-
E.
Lilienthal
Lilienthal is a German-origin surname borne by various notable individuals, including figures in aviation, science, and public service.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b08d27c8190badc612c26423c0e |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78fd0d29481908bd44bda28e3b2c1 |
completed | May 3, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7908d92e08190918525c59cb37b55 |
completed | May 3, 2026, 6:14 p.m. |
Created at: April 9, 2026, 9:52 p.m.