Triple
T9826877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krems an der Donau |
E238677
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Gozzoburg
Gozzoburg is a historic medieval complex in Krems an der Donau, Austria, known for its well-preserved architecture and significant cultural heritage.
|
E822991
|
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: Gozzoburg | Statement: [Krems an der Donau, hasLandmark, Gozzoburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gozzoburg Context triple: [Krems an der Donau, hasLandmark, Gozzoburg]
-
A.
Biburg
Biburg is a small municipality in the Lower Bavarian region of Germany, known for its rural character and historic monastery.
-
B.
Treuburg
Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
-
C.
Obergoms
Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
-
D.
Burggen
Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern Germany.
-
E.
Doesburg
Doesburg is a historic city in the Dutch province of Gelderland, known for its well-preserved medieval center and location at the confluence of the IJssel and Oude IJssel rivers.
- 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: Gozzoburg Triple: [Krems an der Donau, hasLandmark, Gozzoburg]
Generated description
Gozzoburg is a historic medieval complex in Krems an der Donau, Austria, known for its well-preserved architecture and significant cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gozzoburg Target entity description: Gozzoburg is a historic medieval complex in Krems an der Donau, Austria, known for its well-preserved architecture and significant cultural heritage.
-
A.
Biburg
Biburg is a small municipality in the Lower Bavarian region of Germany, known for its rural character and historic monastery.
-
B.
Treuburg
Treuburg is the former German name of the town now known as Olecko, located in northeastern Poland.
-
C.
Obergoms
Obergoms is a municipality in the canton of Valais in southwestern Switzerland, known for its high Alpine landscapes and traditional mountain villages.
-
D.
Burggen
Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern Germany.
-
E.
Doesburg
Doesburg is a historic city in the Dutch province of Gelderland, known for its well-preserved medieval center and location at the confluence of the IJssel and Oude IJssel rivers.
- 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_69d1cc88a86c819088f259a049eec4db |
completed | April 5, 2026, 2:44 a.m. |
| NEDg | Description generation | batch_69d1cdba64d08190bf0b83d419c4461b |
completed | April 5, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ce526a2c819098b103ad83c19445 |
completed | April 5, 2026, 2:52 a.m. |
Created at: March 30, 2026, 8:32 p.m.