Triple

T13114069
Position Surface form Disambiguated ID Type / Status
Subject Mecklenburgische Seenplatte (district) E311047 entity
Predicate contains P35 FINISHED
Object Müritz E509836 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: Müritz | Statement: [Mecklenburgische Seenplatte (district), contains, Müritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Müritz
Context triple: [Mecklenburgische Seenplatte (district), contains, Müritz]
  • A. Müritz chosen
    Müritz is Germany’s largest lake entirely within the country, located in the Mecklenburg Lake District of northeastern Germany.
  • B. Uckersee
    Uckersee is a lake in northeastern Germany’s Uckermark region, known for its natural landscapes and recreational activities such as boating and fishing.
  • C. Spreewald
    Spreewald is a picturesque biosphere reserve in eastern Germany known for its network of natural waterways, traditional Sorbian culture, and extensive wetlands.
  • D. Schwielowsee
    Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
  • E. 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.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d205408190883b67739d5efaa7 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:06 p.m.