Triple
T5263728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Town Hall (Neues Rathaus) Hanover |
E118887
|
entity |
| Predicate | nearbyFeature |
P2064
|
FINISHED |
| Object |
Maschteich
Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
|
E527028
|
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: Maschteich | Statement: [New Town Hall (Neues Rathaus) Hanover, nearbyFeature, Maschteich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maschteich Context triple: [New Town Hall (Neues Rathaus) Hanover, nearbyFeature, Maschteich]
-
A.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
-
B.
Markranstädt
Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
-
C.
Schaafheim
Schaafheim is a municipality in the state of Hesse in central Germany.
-
D.
Hirschau
Hirschau is a riverside meadow and recreational area within Munich’s Englischer Garten, known for its open green spaces, beer gardens, and walking paths along the Isar.
-
E.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
- 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: Maschteich Triple: [New Town Hall (Neues Rathaus) Hanover, nearbyFeature, Maschteich]
Generated description
Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maschteich Target entity description: Maschteich is an artificial pond in Hanover, Germany, situated in the Maschpark near the New Town Hall and known for its scenic urban green setting.
-
A.
Ziegenhain
Ziegenhain is a historic town in the German state of Hesse, known for its medieval fortifications and role in regional conflicts.
-
B.
Markranstädt
Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
-
C.
Schaafheim
Schaafheim is a municipality in the state of Hesse in central Germany.
-
D.
Hirschau
Hirschau is a riverside meadow and recreational area within Munich’s Englischer Garten, known for its open green spaces, beer gardens, and walking paths along the Isar.
-
E.
Weiterstadt
Weiterstadt is a town in the German state of Hesse, located near Darmstadt and known for its residential areas and commercial centers.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd2eff4819087420e30c140e6f6 |
completed | March 20, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfd23af5988190a66bdbec54654970 |
completed | March 22, 2026, 11:27 a.m. |
| NEDg | Description generation | batch_69bfd28f25808190a1ab3ea615d0f874 |
completed | March 22, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfd32a618081908a5783fb231be8b5 |
completed | March 22, 2026, 11:31 a.m. |
Created at: March 20, 2026, 1:51 p.m.