Triple
T17847241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weißer See |
E445696
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Weißensee Park
Weißensee Park is a public green space in Berlin surrounding the Weißer See, known for its lakeside paths, recreation areas, and natural scenery.
|
E1290612
|
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: Weißensee Park | Statement: [Weißer See, hasPart, Weißensee Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weißensee Park Context triple: [Weißer See, hasPart, Weißensee Park]
-
A.
U Kleistpark
U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
-
B.
Schillerpark
Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
-
C.
Valkhof Park
Valkhof Park is a historic public park in Nijmegen, Netherlands, known for its scenic setting overlooking the Waal River and its proximity to ancient Roman and medieval ruins.
-
D.
Doblhoffpark
Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
-
E.
Kletzsch Park
Kletzsch Park is a public recreational area in Glendale, Wisconsin, known for its scenic Milwaukee River views, trails, and outdoor amenities.
- 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: Weißensee Park Triple: [Weißer See, hasPart, Weißensee Park]
Generated description
Weißensee Park is a public green space in Berlin surrounding the Weißer See, known for its lakeside paths, recreation areas, and natural scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weißensee Park Target entity description: Weißensee Park is a public green space in Berlin surrounding the Weißer See, known for its lakeside paths, recreation areas, and natural scenery.
-
A.
U Kleistpark
U Kleistpark is a Berlin U-Bahn station on line U7 located in the Schöneberg district.
-
B.
Schillerpark
Schillerpark is a historic public park in Berlin known for its expansive lawns, tree-lined paths, and role as a popular recreational area for local residents.
-
C.
Valkhof Park
Valkhof Park is a historic public park in Nijmegen, Netherlands, known for its scenic setting overlooking the Waal River and its proximity to ancient Roman and medieval ruins.
-
D.
Doblhoffpark
Doblhoffpark is a historic public park in Baden bei Wien, Austria, known for its extensive rose gardens, scenic ponds, and tranquil walking paths.
-
E.
Kletzsch Park
Kletzsch Park is a public recreational area in Glendale, Wisconsin, known for its scenic Milwaukee River views, trails, and outdoor amenities.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffb35248190a80a428686e06d87 |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0307039ae881909222fcc9827735d2 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a0307db9948819099bdf6f3b36893dd |
completed | May 12, 2026, 10:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030862678881908da2ffe271723572 |
completed | May 12, 2026, 11 a.m. |
Created at: April 10, 2026, 10:16 a.m.