Triple
T11353019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banská Štiavnica |
E268880
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Kammerhof
Kammerhof is a historic mining administration building and museum in Banská Štiavnica, Slovakia, showcasing the town’s rich mining heritage.
|
E920788
|
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: Kammerhof | Statement: [Banská Štiavnica, hasLandmark, Kammerhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kammerhof Context triple: [Banská Štiavnica, hasLandmark, Kammerhof]
-
A.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Rothe House
Rothe House is a well-preserved 16th-century merchant’s townhouse complex and museum in Kilkenny, Ireland, noted for its historic architecture and cultural significance.
-
C.
Luitpoldhain
Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
-
D.
Zeughaus
Zeughaus is Berlin’s historic former arsenal on Unter den Linden, now housing the German Historical Museum.
-
E.
Kaiserhaus
Kaiserhaus is the main historic residential and ceremonial building within the Imperial Palace complex in Goslar, Germany.
- 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: Kammerhof Triple: [Banská Štiavnica, hasLandmark, Kammerhof]
Generated description
Kammerhof is a historic mining administration building and museum in Banská Štiavnica, Slovakia, showcasing the town’s rich mining heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kammerhof Target entity description: Kammerhof is a historic mining administration building and museum in Banská Štiavnica, Slovakia, showcasing the town’s rich mining heritage.
-
A.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Rothe House
Rothe House is a well-preserved 16th-century merchant’s townhouse complex and museum in Kilkenny, Ireland, noted for its historic architecture and cultural significance.
-
C.
Luitpoldhain
Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
-
D.
Zeughaus
Zeughaus is Berlin’s historic former arsenal on Unter den Linden, now housing the German Historical Museum.
-
E.
Kaiserhaus
Kaiserhaus is the main historic residential and ceremonial building within the Imperial Palace complex in Goslar, Germany.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea24489081908fbf47fd2e6d709c |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543a6e97481909dc77a553b217b4d |
completed | April 19, 2026, 9:05 p.m. |
| NEDg | Description generation | batch_69e548bb7be4819093aeeaf0c048033e |
completed | April 19, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54efda820819092d6a94fa4fd21f0 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 8, 2026, 9:33 p.m.