Triple

T6186009
Position Surface form Disambiguated ID Type / Status
Subject Schwerin E138060 entity
Predicate locatedOn P40 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: [Schwerin, locatedOn, Schweriner See]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schweriner See
Context triple: [Schwerin, locatedOn, 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. 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.
  • C. Schlachtensee
    Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
  • D. Ostorfer See
    Ostorfer See is a lake in the German state of Mecklenburg-Vorpommern, forming part of the lake landscape around the city of Schwerin.
  • E. Dämeritzsee
    Dämeritzsee is a lake on the southeastern edge of Berlin, Germany, known as a popular recreational area and a key junction in the region’s interconnected waterways.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518f798d8819080f5dc1bb988b3df completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:19 p.m.