Triple

T3225221
Position Surface form Disambiguated ID Type / Status
Subject Mecklenburg Lake District E67603 entity
Predicate largestLake P1025 FINISHED
Object Müritz E301640 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: [Mecklenburg Lake District, largestLake, Müritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Müritz
Context triple: [Mecklenburg Lake District, largestLake, Müritz]
  • A. Spreewald
    Spreewald is a picturesque biosphere reserve in eastern Germany known for its network of natural waterways, traditional Sorbian culture, and extensive wetlands.
  • B. Schwielowsee
    Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
  • C. Friedrichsruh
    Friedrichsruh is a small village in northern Germany best known as the estate and final residence of statesman Otto von Bismarck.
  • D. Hohenfinow
    Hohenfinow is a small municipality in the Barnim district of the federal state of Brandenburg in northeastern Germany.
  • E. Lake Müritz chosen
    Lake Müritz is Germany’s second-largest lake and a central feature of the Mecklenburg Lake District, known for its extensive wetlands, rich birdlife, and surrounding protected landscapes.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1c51a48190b4a395650528b5d8 completed March 8, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27726f76c819092a199ae07a7e688 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:08 p.m.