Triple

T2337103
Position Surface form Disambiguated ID Type / Status
Subject Bitwa nad Bzurą E44335 entity
Predicate location P40 FINISHED
Object Polska E5029 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: Polska | Statement: [Bitwa nad Bzurą, location, Polska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polska
Context triple: [Bitwa nad Bzurą, location, Polska]
  • A. Poland chosen
    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.
  • B. Polish People’s Republic
    The Polish People’s Republic was the communist state that governed Poland from the end of World War II until 1989 under Soviet influence and a one-party socialist system.
  • C. Poles
    Poles are the ethnic and national group native to Poland, many of whom suffered persecution and mass murder under Nazi occupation during the Holocaust.
  • D. Republic of Poland
    The Republic of Poland is a Central European country and parliamentary republic, member of the European Union and NATO, with a rich historical legacy and a rapidly developing modern economy.
  • E. Filipów
    Filipów is a small town in northeastern Poland, known for its picturesque lakes and rural landscapes.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc68ac4348190ab6ec46ec7879643 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3be86dc8190af185bac9554e7d6 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:51 p.m.