Triple

T6186027
Position Surface form Disambiguated ID Type / Status
Subject Schwerin E138060 entity
Predicate hasLake P1025 FINISHED
Object Ziegelsee E578589 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: Ziegelsee | Statement: [Schwerin, hasLake, Ziegelsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ziegelsee
Context triple: [Schwerin, hasLake, Ziegelsee]
  • A. Ziegelsee chosen
    Ziegelsee is a lake in the city of Schwerin in northern Germany, known for its scenic waterfront and role in the region’s interconnected lake system.
  • B. Stölpchensee
    Stölpchensee is a small lake in southwestern Berlin, Germany, known for its scenic setting within the Grunewald forest and its connection to the nearby Großer Wannsee.
  • C. Plauer See
    Plauer See is a large lake in northeastern Germany known for its scenic natural surroundings, recreational activities, and role as part of the extensive Mecklenburg lake system.
  • D. Würmsee
    Würmsee is the historical name of the Bavarian lake now known as Starnberger See, one of Germany’s largest and most famous lakes near Munich.
  • E. Kettwiger See
    Kettwiger See is a reservoir on the Ruhr River in North Rhine-Westphalia, Germany, used for water management, recreation, and local energy production.
  • 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_69c603e1381481908da3af3924e15e26 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:19 p.m.