Triple

T4072487
Position Surface form Disambiguated ID Type / Status
Subject Sykes–Picot Agreement E86678 entity
Predicate publicationOutlet 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: [Sykes–Picot Agreement, publicationOutlet, Pravda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pravda
Context triple: [Sykes–Picot Agreement, publicationOutlet, 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. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc22be988190a2b6575d4f5e0f7b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b99e84819085e1616fb9a61465 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.