Triple
T3063223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altstadt (Frankfurt am Main) |
E62043
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Braubachstraße
Braubachstraße is a historic street in Frankfurt’s Altstadt known for its traditional architecture, shops, and proximity to key cultural and tourist sites.
|
E323281
|
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: Braubachstraße | Statement: [Altstadt (Frankfurt am Main), contains, Braubachstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braubachstraße Context triple: [Altstadt (Frankfurt am Main), contains, Braubachstraße]
-
A.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
B.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
C.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
D.
Herbertstraße
Herbertstraße is a short, gated street in Hamburg’s St. Pauli district known as one of Germany’s most famous red-light prostitution streets.
-
E.
Holzhauser Straße
Holzhauser Straße 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: Braubachstraße Triple: [Altstadt (Frankfurt am Main), contains, Braubachstraße]
Generated description
Braubachstraße is a historic street in Frankfurt’s Altstadt known for its traditional architecture, shops, and proximity to key cultural and tourist sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Braubachstraße Target entity description: Braubachstraße is a historic street in Frankfurt’s Altstadt known for its traditional architecture, shops, and proximity to key cultural and tourist sites.
-
A.
Scharnweberstraße
Scharnweberstraße is a station on Berlin’s U6 U-Bahn line serving the Reinickendorf district in the north of the city.
-
B.
Kaufingerstraße
Kaufingerstraße is one of Munich’s main and oldest pedestrian shopping streets, lined with stores and historic buildings in the city center.
-
C.
Schwartzkopffstraße
Schwartzkopffstraße is a Berlin U-Bahn station on the U6 line located in the central district of the city.
-
D.
Herbertstraße
Herbertstraße is a short, gated street in Hamburg’s St. Pauli district known as one of Germany’s most famous red-light prostitution streets.
-
E.
Holzhauser Straße
Holzhauser Straße 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9ea088fc819090b9d5bbcb268671 |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef118cb48190a1f666ead7c19a12 |
completed | March 11, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69b1f1291670819083866bd4950d4124 |
completed | March 11, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f1990be08190bfa83c08323c5d40 |
completed | March 11, 2026, 10:50 p.m. |
Created at: March 8, 2026, 3:02 p.m.