Triple
T15337735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Taut |
E366710
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Hufeisensiedlung
Hufeisensiedlung is a pioneering early 20th-century modernist housing estate in Berlin, renowned for its innovative social housing design and distinctive horseshoe-shaped layout.
|
E1151334
|
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: Hufeisensiedlung | Statement: [Bruno Taut, notableWork, Hufeisensiedlung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hufeisensiedlung Context triple: [Bruno Taut, notableWork, Hufeisensiedlung]
-
A.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Aidhausen
Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
-
C.
Samenhof
Samenhof is a surname most notably associated with L. L. Zamenhof, the creator of the constructed international language Esperanto.
-
D.
Hunderdorf
Hunderdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Schönfeldwiese
Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
- 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: Hufeisensiedlung Triple: [Bruno Taut, notableWork, Hufeisensiedlung]
Generated description
Hufeisensiedlung is a pioneering early 20th-century modernist housing estate in Berlin, renowned for its innovative social housing design and distinctive horseshoe-shaped layout.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hufeisensiedlung Target entity description: Hufeisensiedlung is a pioneering early 20th-century modernist housing estate in Berlin, renowned for its innovative social housing design and distinctive horseshoe-shaped layout.
-
A.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Aidhausen
Aidhausen is a small municipality in the Lower Franconia region of Bavaria, Germany.
-
C.
Samenhof
Samenhof is a surname most notably associated with L. L. Zamenhof, the creator of the constructed international language Esperanto.
-
D.
Hunderdorf
Hunderdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria in southeastern Germany.
-
E.
Schönfeldwiese
Schönfeldwiese is a well-known open meadow in Munich’s Englischer Garten, popular for sunbathing, recreation, and its long tradition of nude bathing.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff02a62dcc819087eddd2f0b4c29cb |
completed | May 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff036153588190ae46fcde257eb3cb |
completed | May 9, 2026, 9:50 a.m. |
Created at: April 10, 2026, 3:17 a.m.