Triple

T6606379
Position Surface form Disambiguated ID Type / Status
Subject Upper Silesia E149128 entity
Predicate hasEthnicGroup P1898 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: [Upper Silesia, hasEthnicGroup, Poles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poles
Context triple: [Upper Silesia, hasEthnicGroup, 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. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • C. Filipów
    Filipów is a small town in northeastern Poland, known for its picturesque lakes and rural landscapes.
  • D. Polonia
    Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
  • E. 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.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af143d5c8190b62602602510b1cb completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbce25b481908d600d38d3c5b871 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:57 p.m.