Triple

T777109
Position Surface form Disambiguated ID Type / Status
Subject Elbe E16410 entity
Predicate tributary P415 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: [Elbe, tributary, Havel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havel
Context triple: [Elbe, tributary, Havel]
  • A. Havel chosen
    The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
  • B. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • C. 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.
  • D. Vladimír Dzurilla
    Vladimír Dzurilla was a legendary Czechoslovak ice hockey goaltender, widely regarded as one of the best European goalies of his era and a key figure in international competitions during the 1960s and 1970s.
  • E. Alexander Dubček
    Alexander Dubček was a Slovak communist politician best known for initiating liberalizing reforms in Czechoslovakia in 1968 that challenged Soviet control.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74da7648190adfad56717d564df completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792851cc481908d019836ff98d46d completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.