Triple
T7903540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waldfriedhof (Munich) |
E183513
|
entity |
| Predicate | locatedOnStreet |
P959
|
FINISHED |
| Object |
Waldfriedhofstraße
Waldfriedhofstraße is a street in Munich, Germany, known for providing access to the historic Waldfriedhof cemetery.
|
E700590
|
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: Waldfriedhofstraße | Statement: [Waldfriedhof (Munich), locatedOnStreet, Waldfriedhofstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldfriedhofstraße Context triple: [Waldfriedhof (Munich), locatedOnStreet, Waldfriedhofstraße]
-
A.
Braubachstraße
Braubachstraße is a historic street in Frankfurt’s Altstadt known for its traditional architecture, shops, and proximity to key cultural and tourist sites.
-
B.
Holzhauser Straße
Holzhauser Straße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
C.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
D.
Grunewaldstraße
Grunewaldstraße is a notable street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- 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: Waldfriedhofstraße Triple: [Waldfriedhof (Munich), locatedOnStreet, Waldfriedhofstraße]
Generated description
Waldfriedhofstraße is a street in Munich, Germany, known for providing access to the historic Waldfriedhof cemetery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waldfriedhofstraße Target entity description: Waldfriedhofstraße is a street in Munich, Germany, known for providing access to the historic Waldfriedhof cemetery.
-
A.
Braubachstraße
Braubachstraße is a historic street in Frankfurt’s Altstadt known for its traditional architecture, shops, and proximity to key cultural and tourist sites.
-
B.
Holzhauser Straße
Holzhauser Straße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
C.
Siesmayerstraße
Siesmayerstraße is a street in Frankfurt am Main, Germany, known for bordering the historic Palmengarten botanical garden.
-
D.
Grunewaldstraße
Grunewaldstraße is a notable street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés.
-
E.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:02 p.m.