Triple

T11174696
Position Surface form Disambiguated ID Type / Status
Subject Lake Schwerin E264378 entity
Predicate hasAlternativeName P39 FINISHED
Object Schweriner See E576385 NE FINISHED

How this triple was built (2 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: Schweriner See | Statement: [Lake Schwerin, hasAlternativeName, Schweriner See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schweriner See
Context triple: [Lake Schwerin, hasAlternativeName, Schweriner See]
  • A. Schweriner See chosen
    Schweriner See is a large lake in northern Germany that surrounds and characterizes the city of Schwerin, known for its scenic shores and historic lakeside castle.
  • B. Großer Plöner See
    Großer Plöner See is one of the largest and most scenic lakes in Schleswig-Holstein, northern Germany, known for its clear waters, islands, and surrounding natural landscapes.
  • 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. Malchower See
    Malchower See is a lake in the Malchow area of Berlin, Germany, known for its natural surroundings and local recreational use.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f12fa07fc081909a42f9c19ad38511 completed April 28, 2026, 10:07 p.m.
Created at: April 8, 2026, 9:29 p.m.