Triple

T21313079
Position Surface form Disambiguated ID Type / Status
Subject Oder-Spree E525393 entity
Predicate contains P35 FINISHED
Object Müggelspree 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: Müggelspree | Statement: [Oder-Spree, contains, Müggelspree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Müggelspree
Context triple: [Oder-Spree, contains, Müggelspree]
  • A. Müggelspree chosen
    Müggelspree is a section of the River Spree in Berlin and Brandenburg, Germany, known for flowing through the Müggel lakes and surrounding forested recreational areas.
  • B. Dahme
    The Dahme is a river in eastern Germany that flows through Brandenburg and Berlin before joining the Spree.
  • C. Dahme
    Dahme is a small coastal town on the Baltic Sea in northern Germany, known for its beaches and seaside tourism.
  • D. Zschopau River
    The Zschopau River is a tributary of the Freiberger Mulde in Saxony, Germany, flowing through the Ore Mountains and several towns before joining larger river systems.
  • E. Peene River
    The Peene River is a lowland river in northeastern Germany, often called the "Amazon of the North" for its largely untouched wetlands and rich biodiversity.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcc6350819093763632b7e6e4ac completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:25 p.m.