Triple
T10950079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbertstraße |
E258702
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Davidstraße
Davidstraße is a street in Hamburg’s St. Pauli district, known for its proximity to the city’s famous red-light and entertainment areas.
|
E896598
|
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: Davidstraße | Statement: [Herbertstraße, near, Davidstraße]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davidstraße Context triple: [Herbertstraße, near, Davidstraße]
-
A.
Paradestraße
Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
-
B.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
C.
Papestraße
Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
-
D.
Paulstraße
Paulstraße is a street in Berlin, Germany, located near the Spree River and key landmarks such as the Moltkebrücke and the government district.
-
E.
Gerichtstraße
Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
- 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: Davidstraße Triple: [Herbertstraße, near, Davidstraße]
Generated description
Davidstraße is a street in Hamburg’s St. Pauli district, known for its proximity to the city’s famous red-light and entertainment areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Davidstraße Target entity description: Davidstraße is a street in Hamburg’s St. Pauli district, known for its proximity to the city’s famous red-light and entertainment areas.
-
A.
Paradestraße
Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
-
B.
Hermannstraße
Hermannstraße is a Berlin railway and U-Bahn station in the Neukölln district that serves as a key interchange point on the city’s Ringbahn network.
-
C.
Papestraße
Papestraße was the former name of the Berlin Südkreuz railway station, a major transport hub in southern Berlin.
-
D.
Paulstraße
Paulstraße is a street in Berlin, Germany, located near the Spree River and key landmarks such as the Moltkebrücke and the government district.
-
E.
Gerichtstraße
Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770ed2f1c819081ec58457f57889d |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d733f7d88190b45df5c155ff5a46 |
completed | April 18, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 8, 2026, 9:23 p.m.