Triple
T3317580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innere Stadt |
E69717
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Wieden
Wieden is the 4th municipal district of Vienna, Austria, known for its historic architecture, cultural institutions, and central urban character.
|
E346711
|
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: Wieden | Statement: [Innere Stadt, borderedBy, Wieden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wieden Context triple: [Innere Stadt, borderedBy, Wieden]
-
A.
Schwechat
Schwechat is an Austrian town just southeast of Vienna, best known as the site of Vienna International Airport and a major hub for industry and transport.
-
B.
Riehen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
-
C.
Seibersdorf
Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
-
D.
Wiener Neustadt
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
-
E.
Baden bei Wien
Baden bei Wien is a historic spa town in eastern Austria renowned for its thermal springs, Biedermeier architecture, and proximity to Vienna.
- 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: Wieden Triple: [Innere Stadt, borderedBy, Wieden]
Generated description
Wieden is the 4th municipal district of Vienna, Austria, known for its historic architecture, cultural institutions, and central urban character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wieden Target entity description: Wieden is the 4th municipal district of Vienna, Austria, known for its historic architecture, cultural institutions, and central urban character.
-
A.
Schwechat
Schwechat is an Austrian town just southeast of Vienna, best known as the site of Vienna International Airport and a major hub for industry and transport.
-
B.
Riehen
Riehen is a municipality in the canton of Basel-Stadt in northern Switzerland, known as a residential suburb of Basel near the German border.
-
C.
Seibersdorf
Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
-
D.
Wiener Neustadt
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
-
E.
Baden bei Wien
Baden bei Wien is a historic spa town in eastern Austria renowned for its thermal springs, Biedermeier architecture, and proximity to Vienna.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb113cb6c8190989b06476f6015fd |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3fd5440819092f6847e56c05ff8 |
completed | March 12, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_69b300abcbf88190bf05da60d8fb430b |
completed | March 12, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3132087888190af901e2551ef777c |
completed | March 12, 2026, 7:25 p.m. |
Created at: March 8, 2026, 3:11 p.m.