Triple
T10950741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuhlsbüttel |
E258718
|
entity |
| Predicate | hasNeighbouringQuarter |
P96797
|
FINISHED |
| Object |
Langenhorn
Langenhorn is a residential quarter in the northern part of Hamburg, Germany, known for its green spaces and suburban character.
|
E922574
|
NE FINISHED |
How this triple was built (5 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: Langenhorn | Statement: [Fuhlsbüttel, hasNeighbouringQuarter, Langenhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langenhorn Context triple: [Fuhlsbüttel, hasNeighbouringQuarter, Langenhorn]
-
A.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Langenhain
Langenhain is a district of the town Hofheim am Taunus in the German state of Hesse, known for its residential character and proximity to the Taunus hills.
-
C.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
D.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
- 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: Langenhorn Triple: [Fuhlsbüttel, hasNeighbouringQuarter, Langenhorn]
Generated description
Langenhorn is a residential quarter in the northern part of Hamburg, Germany, known for its green spaces and suburban character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langenhorn Target entity description: Langenhorn is a residential quarter in the northern part of Hamburg, Germany, known for its green spaces and suburban character.
-
A.
Hornsberg
Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
-
B.
Langenhain
Langenhain is a district of the town Hofheim am Taunus in the German state of Hesse, known for its residential character and proximity to the Taunus hills.
-
C.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
D.
Geiersthal
Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
-
E.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighbouringQuarter Context triple: [Fuhlsbüttel, hasNeighbouringQuarter, Langenhorn]
-
A.
hasNeighbouringLocality
Indicates that one locality is geographically adjacent to or directly borders another locality.
-
B.
hasNeighbouringWard
Indicates that one ward is directly adjacent to or borders another ward geographically.
-
C.
hasNearbySquare
Indicates that one entity has at least one square-shaped entity located close to it in space.
-
D.
hasQuadrants
Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
-
E.
hasNeighborhoodAlong
Indicates that one entity has a neighboring area or region that extends along the boundary or length of another entity.
- F. None of above. chosen
Provenance (7 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_69e58a8c67248190be284ddd84f9d8b8 |
completed | April 20, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.