Triple

T15687453
Position Surface form Disambiguated ID Type / Status
Subject Fürstenberg/Havel E380238 entity
Predicate locatedByLake P17985 FINISHED
Object Schwedtsee E1002238 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: Schwedtsee | Statement: [Fürstenberg/Havel, locatedByLake, Schwedtsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwedtsee
Context triple: [Fürstenberg/Havel, locatedByLake, Schwedtsee]
  • A. Schwedtsee lake chosen
    Schwedtsee lake is a body of water in Brandenburg, Germany, historically known for its proximity to the former Ravensbrück concentration camp.
  • B. 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.
  • C. Schwielowsee
    Schwielowsee is a scenic lake and municipality in Brandenburg, Germany, known for its natural landscapes, water recreation, and proximity to Potsdam.
  • D. Wandlitzsee
    Wandlitzsee is a scenic lake in Brandenburg, Germany, known for recreation, bathing, and its proximity to the village of Wandlitz.
  • E. Grimnitzsee
    Grimnitzsee is a natural lake in Brandenburg, Germany, known for its scenic forests, clear waters, and recreational opportunities near the town of Joachimsthal.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4cee5481908699fbb2b7bdd2f6 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa12713588190a888d6f6dd4290e1 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:44 a.m.