Triple

T23014793
Position Surface form Disambiguated ID Type / Status
Subject Havel lakes E573001 entity
Predicate hasPart P35 FINISHED
Object Plauer See (Havel) 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: Plauer See (Havel) | Statement: [Havel lakes, hasPart, Plauer See (Havel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plauer See (Havel)
Context triple: [Havel lakes, hasPart, Plauer See (Havel)]
  • A. Plauer See (Brandenburg) chosen
    Plauer See (Brandenburg) is a large lake in the German state of Brandenburg that forms part of the Havel waterway and is popular for boating, fishing, and nature recreation.
  • B. 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.
  • C. Wandlitzsee
    Wandlitzsee is a scenic lake in Brandenburg, Germany, known for recreation, bathing, and its proximity to the village of Wandlitz.
  • D. Tegeler See
    Tegeler See is a large lake in the Tegel district of Berlin, Germany, popular for recreation, boating, and its surrounding natural areas.
  • E. Schlachtensee
    Schlachtensee is a lake and popular recreational area in southwestern Berlin, known for swimming, walking trails, and its surrounding forested landscape.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.