Triple

T2580124
Position Surface form Disambiguated ID Type / Status
Subject April Theses E57068 entity
Predicate publishedIn P309 FINISHED
Object Pravda E8073 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: Pravda | Statement: [April Theses, publishedIn, Pravda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pravda
Context triple: [April Theses, publishedIn, Pravda]
  • A. Pravda chosen
    Pravda was the official newspaper of the Soviet Union’s Communist Party and a primary mouthpiece for state propaganda and ideology.
  • B. Pravda vítězí
    Pravda vítězí is the historic Czech national motto, meaning "Truth prevails," prominently associated with Czech statehood and democratic ideals.
  • C. Pravdinsk
    Pravdinsk is a small town in Russia’s Kaliningrad Oblast, historically known as Friedland and noted as the site of a major 1807 Napoleonic battle.
  • D. Arbeiter-Zeitung
    Arbeiter-Zeitung was a prominent German-language socialist and labor newspaper in Chicago that became closely associated with the American labor movement and the events surrounding the Haymarket affair.
  • E. Der Spiegel
    Der Spiegel is a leading German weekly news magazine known for its investigative journalism and significant influence on political and public discourse in Germany.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a9fd3c8190a521931e40cd801c completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6579bab88190891c23721eaccfc8 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.