Triple

T4407432
Position Surface form Disambiguated ID Type / Status
Subject Berlin lake system E93768 entity
Predicate hasPart P35 FINISHED
Object Wannsee E4533 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: Wannsee | Statement: [Berlin lake system, hasPart, Wannsee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wannsee
Context triple: [Berlin lake system, hasPart, Wannsee]
  • A. Wannsee chosen
    Wannsee is a lakeside district in southwestern Berlin, Germany, known for its villa colonies, recreational waterfront, and as the site of the infamous 1942 Wannsee Conference.
  • B. Kaufering
    Kaufering is a municipality in Bavaria, Germany, known historically for its World War II subcamps of Dachau and its location near the town of Landsberg am Lech.
  • C. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • D. Zinnowitz
    Zinnowitz is a seaside resort town on Germany’s Baltic Sea coast, known for its sandy beaches, historic spa architecture, and tourism on the island of Usedom.
  • E. Zoppot
    Zoppot is the German name for the Baltic Sea resort city of Sopot, now located in northern Poland between Gdańsk and Gdynia.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3548b1ca08190b3136867c7098d86 completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f609f7f881909d12735f4028a108 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:28 p.m.