Triple
T9470794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schweizer Platz station |
E228382
|
entity |
| Predicate | hasAccessTo |
P1017
|
FINISHED |
| Object |
Schweizer Straße
Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen district.
|
E800185
|
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: Schweizer Straße | Statement: [Schweizer Platz station, hasAccessTo, Schweizer Straße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schweizer Straße Context triple: [Schweizer Platz station, hasAccessTo, Schweizer Straße]
-
A.
Hirzelstrasse
Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
-
B.
Berger Straße
Berger Straße is a prominent and lively shopping and dining street in Frankfurt am Main, known for its mix of boutiques, cafés, bars, and traditional Hessian pubs.
-
C.
Mühlenstrasse
Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
-
D.
Luxemburger Straße
Luxemburger Straße is a street located near Leopoldplatz in Berlin, Germany.
-
E.
Otisstraße
Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district 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: Schweizer Straße Triple: [Schweizer Platz station, hasAccessTo, Schweizer Straße]
Generated description
Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schweizer Straße Target entity description: Schweizer Straße is a prominent street in Frankfurt am Main, Germany, known for its shops, cafes, and role as a key thoroughfare in the Sachsenhausen district.
-
A.
Hirzelstrasse
Hirzelstrasse is a local road in the Swiss village of Hirzel, serving as one of its main thoroughfares.
-
B.
Berger Straße
Berger Straße is a prominent and lively shopping and dining street in Frankfurt am Main, known for its mix of boutiques, cafés, bars, and traditional Hessian pubs.
-
C.
Mühlenstrasse
Mühlenstrasse is a street in Berlin, Germany, best known for running alongside the East Side Gallery, the longest remaining section of the Berlin Wall.
-
D.
Luxemburger Straße
Luxemburger Straße is a street located near Leopoldplatz in Berlin, Germany.
-
E.
Otisstraße
Otisstraße is a Berlin U-Bahn station on line U6 located in the Reinickendorf district 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fee13a88190b4532fb92ddaf401 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122cd0728819088f6c832cd90d832 |
completed | April 4, 2026, 2:40 p.m. |
| NEDg | Description generation | batch_69d12350baa08190b08f619391acbd75 |
completed | April 4, 2026, 2:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d123af901c819098bb1401846f0daf |
completed | April 4, 2026, 2:43 p.m. |
Created at: March 30, 2026, 7:53 p.m.