Triple

T2497539
Position Surface form Disambiguated ID Type / Status
Subject Maria Piłsudska E52186 entity
Predicate ethnicGroup P194 FINISHED
Object Poles E1509 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: Poles | Statement: [Maria Piłsudska, ethnicGroup, Poles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poles
Context triple: [Maria Piłsudska, ethnicGroup, Poles]
  • A. Poles chosen
    Poles are the ethnic and national group native to Poland, many of whom suffered persecution and mass murder under Nazi occupation during the Holocaust.
  • B. Filipów
    Filipów is a small town in northeastern Poland, known for its picturesque lakes and rural landscapes.
  • C. Mazovians
    The Mazovians are a historical Polish ethnic group from the Mazovia region, traditionally speaking a distinct dialect and contributing to the cultural identity of central Poland.
  • D. Poland
    Poland is a Central European country known for its rich medieval heritage, resilient culture, and pivotal role in 20th-century history, including being the site of the outbreak of World War II.
  • E. Silesians
    Silesians are a West Slavic ethnic group native to the historical region of Silesia, with a distinct culture, dialect, and identity shaped by Polish, Czech, and German influences.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1ad2f8c81908853e97d75081e84 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9be594819099a03a2784691124 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.