Triple
T14755914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoher Markt |
E346727
|
entity |
| Predicate | hasNearbyStreet |
P8235
|
FINISHED |
| Object |
Wipplingerstraße
Wipplingerstraße is a historic street in Vienna’s city center known for its proximity to major squares, financial institutions, and notable civic buildings.
|
E1153971
|
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: Wipplingerstraße | Statement: [Hoher Markt, hasNearbyStreet, Wipplingerstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wipplingerstraße Context triple: [Hoher Markt, hasNearbyStreet, Wipplingerstraße]
-
A.
Güntzelstraße
Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district of the city.
-
B.
Wilmersdorfer Straße
Wilmersdorfer Straße is a Berlin U-Bahn station in the Charlottenburg district, serving the busy shopping street of the same name and providing access to numerous retail and commercial areas.
-
C.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Müllerstraße
Müllerstraße is a major thoroughfare in Berlin’s Wedding district, known for its dense urban character, shops, and public transport connections.
- 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: Wipplingerstraße Triple: [Hoher Markt, hasNearbyStreet, Wipplingerstraße]
Generated description
Wipplingerstraße is a historic street in Vienna’s city center known for its proximity to major squares, financial institutions, and notable civic buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wipplingerstraße Target entity description: Wipplingerstraße is a historic street in Vienna’s city center known for its proximity to major squares, financial institutions, and notable civic buildings.
-
A.
Güntzelstraße
Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district of the city.
-
B.
Wilmersdorfer Straße
Wilmersdorfer Straße is a Berlin U-Bahn station in the Charlottenburg district, serving the busy shopping street of the same name and providing access to numerous retail and commercial areas.
-
C.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
D.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
E.
Müllerstraße
Müllerstraße is a major thoroughfare in Berlin’s Wedding district, known for its dense urban character, shops, and public transport connections.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7ef0fd48190bd4a8af128ef274c |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff133571008190b7e7867208095b90 |
completed | May 9, 2026, 10:57 a.m. |
| NEDg | Description generation | batch_69ff14042ce8819084817836b096f175 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14745a8c81909b10d6b21b88b50b |
completed | May 9, 2026, 11:03 a.m. |
Created at: April 10, 2026, 1:30 a.m.