Triple
T6848244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Müggelsee |
E157949
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Kleiner Müggelsee
Kleiner Müggelsee is a smaller adjoining lake in the Müggelsee lake system in Berlin, Germany.
|
E157949
|
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: Kleiner Müggelsee | Statement: [Müggelsee, hasPart, Kleiner Müggelsee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kleiner Müggelsee Context triple: [Müggelsee, hasPart, Kleiner Müggelsee]
-
A.
Tegeler See
Tegeler See is a large lake in the Tegel district of Berlin, Germany, popular for recreation, boating, and its surrounding natural areas.
-
B.
Müggelsee
Müggelsee is the largest lake in Berlin, Germany, known for its popular recreational areas and natural surroundings.
-
C.
Griebnitzsee
Griebnitzsee is a lake on the southwestern outskirts of Berlin, Germany, known for its scenic waterfront, historic villas, and role as part of the former inner German border.
-
D.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
-
E.
Heiligensee
Heiligensee is a residential and partly lakeside locality in the northwest of Berlin, known for its green spaces and village-like character within the borough of Reinickendorf.
- 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: Kleiner Müggelsee Triple: [Müggelsee, hasPart, Kleiner Müggelsee]
Generated description
Kleiner Müggelsee is a smaller adjoining lake in the Müggelsee lake system in Berlin, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kleiner Müggelsee Target entity description: Kleiner Müggelsee is a smaller adjoining lake in the Müggelsee lake system in Berlin, Germany.
-
A.
Tegeler See
Tegeler See is a large lake in the Tegel district of Berlin, Germany, popular for recreation, boating, and its surrounding natural areas.
-
B.
Müggelsee
chosen
Müggelsee is the largest lake in Berlin, Germany, known for its popular recreational areas and natural surroundings.
-
C.
Griebnitzsee
Griebnitzsee is a lake on the southwestern outskirts of Berlin, Germany, known for its scenic waterfront, historic villas, and role as part of the former inner German border.
-
D.
Schlachtensee
Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
-
E.
Heiligensee
Heiligensee is a residential and partly lakeside locality in the northwest of Berlin, known for its green spaces and village-like character within the borough of Reinickendorf.
- F. None of above.
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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7427825d881909f151ca2ce3bd546 |
completed | March 28, 2026, 2:52 a.m. |
| NEDg | Description generation | batch_69c7435af2b481908e06b3ec72dae7da |
completed | March 28, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7443919ec819089040e50462864d1 |
completed | March 28, 2026, 3 a.m. |
Created at: March 27, 2026, 2:20 p.m.