Triple
T20437732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo von Klenze |
E501299
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Schladen
Schladen is a small town in Lower Saxony, Germany, known as the birthplace of the renowned neoclassical architect Leo von Klenze.
|
E1431431
|
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: Schladen | Statement: [Leo von Klenze, placeOfBirth, Schladen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schladen Context triple: [Leo von Klenze, placeOfBirth, Schladen]
-
A.
Schlenze
Schlenze is a small river in central Germany, known as a tributary of the Saale flowing through the state of Saxony-Anhalt.
-
B.
Rottenegg
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
-
C.
Schlatt am Randen
Schlatt am Randen is a village in the municipality of Hilzingen in the district of Konstanz in Baden-Württemberg, Germany, near the Swiss border.
-
D.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
E.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
- 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: Schladen Triple: [Leo von Klenze, placeOfBirth, Schladen]
Generated description
Schladen is a small town in Lower Saxony, Germany, known as the birthplace of the renowned neoclassical architect Leo von Klenze.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schladen Target entity description: Schladen is a small town in Lower Saxony, Germany, known as the birthplace of the renowned neoclassical architect Leo von Klenze.
-
A.
Schlenze
Schlenze is a small river in central Germany, known as a tributary of the Saale flowing through the state of Saxony-Anhalt.
-
B.
Rottenegg
Rottenegg is a small village that forms one of the local subdivisions of the Bavarian town of Geisenfeld in Germany.
-
C.
Schlatt am Randen
Schlatt am Randen is a village in the municipality of Hilzingen in the district of Konstanz in Baden-Württemberg, Germany, near the Swiss border.
-
D.
Plöckenstein
Plöckenstein is a mountain on the border of Austria, Germany, and the Czech Republic, known as the highest peak of the Bohemian Forest.
-
E.
Baltschieder
Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f042988190948253a3d2ee4e9e |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883fb46d081909ac630cf1dca232a |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0885ad2b0c8190970ea6631d2d06be |
completed | May 16, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08862f9da481909b2d7bf2f27522cc |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:31 a.m.