Triple

T7675480
Position Surface form Disambiguated ID Type / Status
Subject Ashkenazi surnames E173849 entity
Predicate exampleOfToponymicName P78861 FINISHED
Object Warszawski E8399 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: Warszawski | Statement: [Ashkenazi surnames, exampleOfToponymicName, Warszawski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warszawski
Context triple: [Ashkenazi surnames, exampleOfToponymicName, Warszawski]
  • A. Warsaw chosen
    Warsaw is the capital and largest city of Poland, known for its resilient history, especially its near-total destruction in World War II and subsequent postwar reconstruction.
  • B. Warsaw
    Warsaw was the original name of the English post-punk band that later became known as Joy Division.
  • C. Układ Warszawski
    Układ Warszawski was a Cold War-era military alliance of Eastern Bloc socialist states led by the Soviet Union, formed in 1955 as a counterbalance to NATO.
  • D. Kurier z Warszawy
    Kurier z Warszawy is the wartime pseudonym of Jan Nowak-Jeziorański, a famed Polish resistance courier and later prominent journalist and political activist.
  • E. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c708affd048190bf21bcc1796a3c39 completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a23ba62881908fcdcf2ffcf6d41d completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.