Triple
T9826882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krems an der Donau |
E238677
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Forum Frohner
Forum Frohner is an art and cultural venue in Krems an der Donau, Austria, known for exhibitions and events related to contemporary art.
|
E822996
|
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: Forum Frohner | Statement: [Krems an der Donau, hasLandmark, Forum Frohner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forum Frohner Context triple: [Krems an der Donau, hasLandmark, Forum Frohner]
-
A.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
-
B.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
-
C.
Frohwerk
Frohwerk was a defendant in the 1919 U.S. Supreme Court case Frohwerk v. United States, which addressed criminal liability for anti-war publications under the Espionage Act during World War I.
-
D.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
-
E.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
- 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: Forum Frohner Triple: [Krems an der Donau, hasLandmark, Forum Frohner]
Generated description
Forum Frohner is an art and cultural venue in Krems an der Donau, Austria, known for exhibitions and events related to contemporary art.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Forum Frohner Target entity description: Forum Frohner is an art and cultural venue in Krems an der Donau, Austria, known for exhibitions and events related to contemporary art.
-
A.
FhG
FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
-
B.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
-
C.
Frohwerk
Frohwerk was a defendant in the 1919 U.S. Supreme Court case Frohwerk v. United States, which addressed criminal liability for anti-war publications under the Espionage Act during World War I.
-
D.
Fabro
Fabro is a small Italian town in the Umbria region known for its medieval historic center and hilltop setting.
-
E.
Founex
Founex is a small Swiss municipality on Lake Geneva in the canton of Vaud, known for its residential character and proximity to Geneva.
- 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.