Triple
T10949935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Pauli |
E258698
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Sternschanze
Sternschanze is a trendy Hamburg neighborhood known for its alternative culture, vibrant nightlife, and street art.
|
E894664
|
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: Sternschanze | Statement: [St. Pauli, adjacentTo, Sternschanze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sternschanze Context triple: [St. Pauli, adjacentTo, Sternschanze]
-
A.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Südbahnhof
Südbahnhof is a major railway and public transport station in Frankfurt am Main that serves as a key interchange for regional trains, S-Bahn, U-Bahn, trams, and buses.
-
C.
Luitpoldhain
Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
-
D.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
E.
Südkreuz
Südkreuz is a major Berlin railway and transport interchange that serves as one of the city’s key regional, long-distance, and urban transit stations.
- 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: Sternschanze Triple: [St. Pauli, adjacentTo, Sternschanze]
Generated description
Sternschanze is a trendy Hamburg neighborhood known for its alternative culture, vibrant nightlife, and street art.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sternschanze Target entity description: Sternschanze is a trendy Hamburg neighborhood known for its alternative culture, vibrant nightlife, and street art.
-
A.
Scheibenhof
Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
-
B.
Südbahnhof
Südbahnhof is a major railway and public transport station in Frankfurt am Main that serves as a key interchange for regional trains, S-Bahn, U-Bahn, trams, and buses.
-
C.
Luitpoldhain
Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
-
D.
Kaiserwiese
Kaiserwiese is a large open meadow within Vienna’s Prater park, commonly used for recreation, events, and public gatherings.
-
E.
Südkreuz
Südkreuz is a major Berlin railway and transport interchange that serves as one of the city’s key regional, long-distance, and urban transit stations.
- 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_69e23c4a75688190894c83b8964509a6 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24543bd2c8190a3c807baa76c30f6 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e25d11ef24819091e730ae2416a058 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 8, 2026, 9:23 p.m.