Triple
T20026352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svätý Jur |
E494991
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object |
Sankt Georgen
Sankt Georgen is the German name for the Slovak town of Svätý Jur, a historic wine-growing settlement near Bratislava.
|
E1407573
|
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: Sankt Georgen | Statement: [Svätý Jur, hasGermanName, Sankt Georgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sankt Georgen Context triple: [Svätý Jur, hasGermanName, Sankt Georgen]
-
A.
St. Georgen
St. Georgen is a town in Germany’s Black Forest region known for its scenic surroundings and traditional Black Forest culture.
-
B.
St. Georgen bei Salzburg
St. Georgen bei Salzburg is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the German border.
-
C.
Georgensgmünd
Georgensgmünd is a market town in the Roth district of Bavaria, Germany, known for its location at the confluence of the Rednitz and Schwäbische Rezat rivers.
-
D.
Sankt Georgen im Attergau
Sankt Georgen im Attergau is a market town in the Salzkammergut region of Upper Austria, known for its scenic setting near Lake Attersee.
-
E.
Hagenberg
Hagenberg is an Austrian town in Upper Austria known as a regional hub for computer science and technology, hosting institutions such as the Research Institute for Symbolic Computation.
- 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: Sankt Georgen Triple: [Svätý Jur, hasGermanName, Sankt Georgen]
Generated description
Sankt Georgen is the German name for the Slovak town of Svätý Jur, a historic wine-growing settlement near Bratislava.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sankt Georgen Target entity description: Sankt Georgen is the German name for the Slovak town of Svätý Jur, a historic wine-growing settlement near Bratislava.
-
A.
St. Georgen
St. Georgen is a town in Germany’s Black Forest region known for its scenic surroundings and traditional Black Forest culture.
-
B.
St. Georgen bei Salzburg
St. Georgen bei Salzburg is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the German border.
-
C.
Georgensgmünd
Georgensgmünd is a market town in the Roth district of Bavaria, Germany, known for its location at the confluence of the Rednitz and Schwäbische Rezat rivers.
-
D.
Sankt Georgen im Attergau
Sankt Georgen im Attergau is a market town in the Salzkammergut region of Upper Austria, known for its scenic setting near Lake Attersee.
-
E.
Hagenberg
Hagenberg is an Austrian town in Upper Austria known as a regional hub for computer science and technology, hosting institutions such as the Research Institute for Symbolic Computation.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628e1eec81908e4c9b2b0b68f0e4 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e2f549c8190b04f8470fbb63a0c |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f393dc0819093fec526d1b51dac |
completed | May 16, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810234a788190b329c55e553b365e |
completed | May 16, 2026, 6:35 a.m. |
Created at: April 11, 2026, 3:35 p.m.