Triple

T20895152
Position Surface form Disambiguated ID Type / Status
Subject Tegeler Hafen E514512 entity
Predicate hasWaterBody P165 FINISHED
Object 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: Havel | Statement: [Tegeler Hafen, hasWaterBody, Havel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havel
Context triple: [Tegeler Hafen, hasWaterBody, Havel]
  • A. Havel chosen
    The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
  • B. Václav Havel
    Václav Havel was a Czech playwright, dissident, and statesman who became the last president of Czechoslovakia and the first president of the Czech Republic, symbolizing the country’s transition from communism to democracy.
  • C. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • D. Zdeněk Nejedlý
    Zdeněk Nejedlý was a Czech musicologist, historian, and communist politician who became a prominent cultural ideologue in Czechoslovakia after World War II.
  • E. Jiří Šlitr
    Jiří Šlitr was a Czech composer, pianist, singer, and actor best known for his influential work in Czech popular music and theater during the 1960s, particularly in collaboration with Jiří Suchý at the Semafor Theatre.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d06129788190b88ab807af4641c1 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:47 p.m.