Triple
T1329216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carinhall |
E28601
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Großer Döllnsee
Großer Döllnsee is a large lake in Brandenburg, Germany, situated in a forested area of the Schorfheide region.
|
E154443
|
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: Großer Döllnsee | Statement: [Carinhall, near, Großer Döllnsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Großer Döllnsee Context triple: [Carinhall, near, Großer Döllnsee]
-
A.
Schluchsee
Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
-
B.
Maschsee
Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
-
C.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
-
D.
Dutzendteich
Dutzendteich is a lake and surrounding park area in Nuremberg, Germany, known for its recreational spaces and proximity to the former Nazi Party rally grounds.
-
E.
Ammersee
Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
- 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: Großer Döllnsee Triple: [Carinhall, near, Großer Döllnsee]
Generated description
Großer Döllnsee is a large lake in Brandenburg, Germany, situated in a forested area of the Schorfheide region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Großer Döllnsee Target entity description: Großer Döllnsee is a large lake in Brandenburg, Germany, situated in a forested area of the Schorfheide region.
-
A.
Schluchsee
Schluchsee is a large reservoir and popular recreational lake in Germany’s Black Forest, known for swimming, sailing, and scenic hiking.
-
B.
Maschsee
Maschsee is an artificial lake and popular recreational area in Hanover, Germany, known for boating, walking paths, and cultural events.
-
C.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
-
D.
Dutzendteich
Dutzendteich is a lake and surrounding park area in Nuremberg, Germany, known for its recreational spaces and proximity to the former Nazi Party rally grounds.
-
E.
Ammersee
Ammersee is a large glacial lake in southern Germany known for its scenic shores, recreational activities, and proximity to the Alps.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c30c948190afc6342b3dcda948 |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62978c08190be285167cf579f9f |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc8837400819084e2de10b7916a5f |
completed | March 8, 2026, 12:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc8e54728819081bdbf48df1a3fb6 |
completed | March 8, 2026, 12:55 a.m. |
Created at: March 1, 2026, 7:55 p.m.