Triple
T10950743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuhlsbüttel |
E258718
|
entity |
| Predicate | hasNeighbouringQuarter |
P96797
|
FINISHED |
| Object |
Alsterdorf
Alsterdorf is a residential quarter in the Hamburg-Nord borough of Hamburg, Germany, known for its green spaces and proximity to the Alster River.
|
E902275
|
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: Alsterdorf | Statement: [Fuhlsbüttel, hasNeighbouringQuarter, Alsterdorf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alsterdorf Context triple: [Fuhlsbüttel, hasNeighbouringQuarter, Alsterdorf]
-
A.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
B.
Diedorf
Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
-
C.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
D.
Ruppersdorf
Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
-
E.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
- 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: Alsterdorf Triple: [Fuhlsbüttel, hasNeighbouringQuarter, Alsterdorf]
Generated description
Alsterdorf is a residential quarter in the Hamburg-Nord borough of Hamburg, Germany, known for its green spaces and proximity to the Alster River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alsterdorf Target entity description: Alsterdorf is a residential quarter in the Hamburg-Nord borough of Hamburg, Germany, known for its green spaces and proximity to the Alster River.
-
A.
Perasdorf
Perasdorf is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany.
-
B.
Diedorf
Diedorf is a market town in Bavaria, Germany, located just west of the city of Augsburg.
-
C.
Osterburg
Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
-
D.
Ruppersdorf
Ruppersdorf is a small locality in Germany, historically part of East Prussia, known as the birthplace of German general Otto Lasch.
-
E.
Neubukow
Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
- 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_69e3c7fbf1e08190867151b624a2ee70 |
completed | April 18, 2026, 6:05 p.m. |
| NEDg | Description generation | batch_69e3cadf271081908d2b794a4288892a |
completed | April 18, 2026, 6:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3cf08cf108190966b4abd0514a6ea |
completed | April 18, 2026, 6:35 p.m. |
Created at: April 8, 2026, 9:23 p.m.