Triple

T18678548
Position Surface form Disambiguated ID Type / Status
Subject Müritz–Elde Waterway E456666 entity
Predicate connects P390 FINISHED
Object Lake Müritz NE NERFINISHED

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: Lake Müritz | Statement: [Müritz–Elde Waterway, connects, Lake Müritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Müritz
Context triple: [Müritz–Elde Waterway, connects, Lake Müritz]
  • A. 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.
  • B. Malchower See
    Malchower See is a lake in the Malchow area of Berlin, Germany, known for its natural surroundings and local recreational use.
  • C. Schweriner See
    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.
  • D. Ganderkesee
    Ganderkesee is a municipality in Lower Saxony, Germany, known for its rural character and proximity to the city of Bremen.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b26cb408190a4e209c0d4ff31ba completed April 19, 2026, 10:45 p.m.
Created at: April 10, 2026, 11:48 a.m.