Triple

T14445993
Position Surface form Disambiguated ID Type / Status
Subject River Havel E358205 entity
Predicate connectedTo P37 FINISHED
Object Schwielowsee E160785 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: Schwielowsee | Statement: [River Havel, connectedTo, Schwielowsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwielowsee
Context triple: [River Havel, connectedTo, Schwielowsee]
  • A. Schwielowsee chosen
    Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
  • B. Dämeritzsee
    Dämeritzsee is a lake on the southeastern edge of Berlin, Germany, known as a popular recreational area and a key junction in the region’s interconnected waterways.
  • C. 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.
  • D. Wandlitzsee
    Wandlitzsee is a scenic lake in Brandenburg, Germany, known for recreation, bathing, and its proximity to the village of Wandlitz.
  • E. Kulkwitzer See
    Kulkwitzer See is a popular lake and leisure area in Saxony, Germany, known for swimming, diving, and other outdoor recreational activities.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915e76f481909fe9462f964b5b1c completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d86dbc0819085fef8fa8b45b373 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.