Triple
T20655606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reutlingen |
E507617
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Spreuerhofstraße
Spreuerhofstraße is a famously narrow alley in Reutlingen, Germany, often cited as one of the narrowest streets in the world.
|
E1450606
|
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: Spreuerhofstraße | Statement: [Reutlingen, hasLandmark, Spreuerhofstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spreuerhofstraße Context triple: [Reutlingen, hasLandmark, Spreuerhofstraße]
-
A.
Junghofstraße
Junghofstraße is a street in central Frankfurt am Main, Germany, located near the Taunusanlage area and its major transit connections.
-
B.
Vorbergstraße
Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
-
C.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
D.
Güntzelstraße
Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district of the city.
-
E.
Benkertstraße
Benkertstraße is a historic street located in Potsdam’s Dutch Quarter, known for its characteristic red-brick Dutch-style architecture.
- 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: Spreuerhofstraße Triple: [Reutlingen, hasLandmark, Spreuerhofstraße]
Generated description
Spreuerhofstraße is a famously narrow alley in Reutlingen, Germany, often cited as one of the narrowest streets in the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spreuerhofstraße Target entity description: Spreuerhofstraße is a famously narrow alley in Reutlingen, Germany, often cited as one of the narrowest streets in the world.
-
A.
Junghofstraße
Junghofstraße is a street in central Frankfurt am Main, Germany, located near the Taunusanlage area and its major transit connections.
-
B.
Vorbergstraße
Vorbergstraße is a residential street located in the Akazienkiez neighborhood of Berlin’s Schöneberg district, known for its quiet, tree-lined character near the area’s lively cafés and shops.
-
C.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
D.
Güntzelstraße
Güntzelstraße is a Berlin U-Bahn station on line U9 located in the Wilmersdorf district of the city.
-
E.
Benkertstraße
Benkertstraße is a historic street located in Potsdam’s Dutch Quarter, known for its characteristic red-brick Dutch-style architecture.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ed48308190b9350a323b9a7952 |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8a685648190b39df6bbd4739b0b |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f97974308190af0d39a3a2d6853a |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f9e50c6481908be5a61dab994012 |
completed | May 16, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.