Triple
T10359087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neustadt (Dresden) |
E244083
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Goldener Reiter
Goldener Reiter is a famous gilded equestrian statue of Augustus the Strong in Dresden, Germany.
|
E858612
|
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: Goldener Reiter | Statement: [Neustadt (Dresden), hasLandmark, Goldener Reiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldener Reiter Context triple: [Neustadt (Dresden), hasLandmark, Goldener Reiter]
-
A.
The Ruppes
The Ruppes are a Southern gospel music trio known for their tight family harmonies and inspirational Christian songs.
-
B.
Grünherz
Grünherz was the distinctive green-heart emblem and nickname of the German Luftwaffe fighter wing Jagdgeschwader 54, one of the most successful units on the Eastern Front in World War II.
-
C.
Guldengroschen
The Guldengroschen was a large silver coin of the Holy Roman Empire and a forerunner of the thaler, widely used in Central Europe during the 16th century.
-
D.
Goldburg
Goldburg is a surname variant of Goldberg, typically of Ashkenazi Jewish origin.
-
E.
Goldy
Goldy is a central figure in Chester Himes’s crime novel "A Rage in Harlem," known for his involvement in a chaotic, darkly comic caper in 1950s Harlem.
- 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: Goldener Reiter Triple: [Neustadt (Dresden), hasLandmark, Goldener Reiter]
Generated description
Goldener Reiter is a famous gilded equestrian statue of Augustus the Strong in Dresden, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Goldener Reiter Target entity description: Goldener Reiter is a famous gilded equestrian statue of Augustus the Strong in Dresden, Germany.
-
A.
The Ruppes
The Ruppes are a Southern gospel music trio known for their tight family harmonies and inspirational Christian songs.
-
B.
Grünherz
Grünherz was the distinctive green-heart emblem and nickname of the German Luftwaffe fighter wing Jagdgeschwader 54, one of the most successful units on the Eastern Front in World War II.
-
C.
Guldengroschen
The Guldengroschen was a large silver coin of the Holy Roman Empire and a forerunner of the thaler, widely used in Central Europe during the 16th century.
-
D.
Goldburg
Goldburg is a surname variant of Goldberg, typically of Ashkenazi Jewish origin.
-
E.
Goldy
Goldy is a central figure in Chester Himes’s crime novel "A Rage in Harlem," known for his involvement in a chaotic, darkly comic caper in 1950s Harlem.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e95708c481909c8c8cb2a57bf6d6 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750b6ef248190bdbe16bbb8efcf88 |
completed | April 9, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_69d7618ecb748190a492406eabe590d7 |
completed | April 9, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d77057affc8190b420e66560c3dfbd |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 6, 2026, 11:59 a.m.