Triple
T5821152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landstraße |
E129110
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Weißgerber
Weißgerber is a neighborhood in Vienna’s 3rd district, known for its historic architecture and the famous Hundertwasserhaus.
|
E548232
|
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: Weißgerber | Statement: [Landstraße, contains, Weißgerber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weißgerber Context triple: [Landstraße, contains, Weißgerber]
-
A.
Holzweißig
Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
-
B.
Heunisch Weiss
Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
-
C.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
D.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
E.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
- 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: Weißgerber Triple: [Landstraße, contains, Weißgerber]
Generated description
Weißgerber is a neighborhood in Vienna’s 3rd district, known for its historic architecture and the famous Hundertwasserhaus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weißgerber Target entity description: Weißgerber is a neighborhood in Vienna’s 3rd district, known for its historic architecture and the famous Hundertwasserhaus.
-
A.
Holzweißig
Holzweißig is a former municipality in Saxony-Anhalt, Germany, that now forms part of the industrial town of Bitterfeld-Wolfen.
-
B.
Heunisch Weiss
Heunisch Weiss is an ancient European white grape variety historically important as a parent of many classic wine grapes, including Chardonnay and Riesling.
-
C.
Gantenbein
Gantenbein is the enigmatic, shape-shifting central figure in Max Frisch’s novel "Mein Name sei Gantenbein," through whom themes of identity, role-playing, and the fluidity of self are explored.
-
D.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
E.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c033e7403881908f5e3fe40183865a |
completed | March 22, 2026, 6:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09856bd7881909bf6a87e0c071103 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c098f465cc819088241200306bd273 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099770ca88190a91815ec055f6df8 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:53 p.m.