Triple

T12691286
Position Surface form Disambiguated ID Type / Status
Subject Polonia Restituta E303208 entity
Predicate hasComponent P35 FINISHED
Object Polonia E446178 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: Polonia | Statement: [Polonia Restituta, hasComponent, Polonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polonia
Context triple: [Polonia Restituta, hasComponent, Polonia]
  • A. Polonia chosen
    Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
  • B. 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.
  • C. 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.
  • D. Franuś
    Franuś is a Polish diminutive form of the male given name Franciszek, used as an affectionate or familiar nickname.
  • E. Puolanka
    Puolanka is a small rural municipality in the Kainuu region of northern Finland, known for its scenic nature and self-deprecating “pessimism” tourism theme.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961dabb38819087738361f9de8066 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e2292c8190bffb3a8b6e15029c completed May 2, 2026, 11:12 p.m.
Created at: April 9, 2026, 5:22 p.m.