Triple
T11912804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Währing |
E283435
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Michaelerberg
Michaelerberg is a locality or subdivision within Vienna’s Währing district, known primarily as a residential area.
|
E953111
|
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: Michaelerberg | Statement: [Währing, contains, Michaelerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michaelerberg Context triple: [Währing, contains, Michaelerberg]
-
A.
Matthias Zumtaugwald
Matthias Zumtaugwald was a 19th-century Swiss mountain guide and climber known for participating in the first ascent of Dufourspitze, the highest peak in Switzerland.
-
B.
Matzelsberger
Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
-
C.
Creutzwald
Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
-
D.
Gisbert
Gisbert is a masculine given name of Germanic origin, closely related to Gilbert and used primarily in German- and Spanish-speaking countries.
-
E.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
- 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: Michaelerberg Triple: [Währing, contains, Michaelerberg]
Generated description
Michaelerberg is a locality or subdivision within Vienna’s Währing district, known primarily as a residential area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michaelerberg Target entity description: Michaelerberg is a locality or subdivision within Vienna’s Währing district, known primarily as a residential area.
-
A.
Matthias Zumtaugwald
Matthias Zumtaugwald was a 19th-century Swiss mountain guide and climber known for participating in the first ascent of Dufourspitze, the highest peak in Switzerland.
-
B.
Matzelsberger
Matzelsberger is a German-language surname most notably associated with Franziska Matzelsberger, the second wife of Emperor Franz Joseph I of Austria.
-
C.
Creutzwald
Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
-
D.
Gisbert
Gisbert is a masculine given name of Germanic origin, closely related to Gilbert and used primarily in German- and Spanish-speaking countries.
-
E.
Gebhard
Gebhard is a German given name most famously borne by Gebhard Leberecht von Blücher, the Prussian field marshal who helped defeat Napoleon at Waterloo.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e528f6748190ac873a040a61fa93 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4185fd3588190807cc2906c4ce3fd |
completed | May 1, 2026, 3:05 a.m. |
| NEDg | Description generation | batch_69f41f1e746c81909f78f0e0bf173c7b |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f42291f3608190ab079f939d34cf15 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.