Triple

T4133726
Position Surface form Disambiguated ID Type / Status
Subject Łucznik Arms Factory E85099 entity
Predicate location P40 FINISHED
Object Radom, Poland E168498 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: Radom, Poland | Statement: [Łucznik Arms Factory, location, Radom, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radom, Poland
Context triple: [Łucznik Arms Factory, location, Radom, Poland]
  • A. Radom chosen
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • B. Popowo, Poland
    Popowo, Poland is a small Polish village best known as the birthplace of former president and Solidarity leader Lech Wałęsa.
  • C. Lutynia, Poland
    Lutynia, Poland is a village in southwestern Poland best known as the site of the historic 1757 Battle of Leuthen during the Seven Years' War.
  • D. Złoczów, Poland
    Złoczów, Poland is a town in present-day Ukraine (historically part of Poland) known as the birthplace of Nobel Prize–winning chemist Roald Hoffmann.
  • E. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02306d608190bf8945d560f87c21 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c4c0888190be156d093ea11207 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.