Triple

T1367075
Position Surface form Disambiguated ID Type / Status
Subject Havel River E30026 entity
Predicate hasGermanName P1435 FINISHED
Object Havel E34243 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: Havel | Statement: [Havel River, hasGermanName, Havel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havel
Context triple: [Havel River, hasGermanName, 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. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • D. Antonín Novotný
    Antonín Novotný was a Czechoslovak communist politician who served as the country’s president and First Secretary during the hardline era preceding the Prague Spring.
  • E. Ludvík Svoboda
    Ludvík Svoboda was a Czechoslovak army general and communist politician who served as President of Czechoslovakia during the late 1960s, notably navigating the country through the turbulent period of the Prague Spring and its subsequent suppression.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d33d2081908008494b5f56bf56 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce788098819087a046e10966b7e9 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.