Triple

T2627234
Position Surface form Disambiguated ID Type / Status
Subject Karol Wojtyła E59146 entity
Predicate birthPlace P1 FINISHED
Object Wadowice, Poland E25798 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: Wadowice, Poland | Statement: [Karol Wojtyła, birthPlace, Wadowice, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wadowice, Poland
Context triple: [Karol Wojtyła, birthPlace, Wadowice, Poland]
  • A. Wadowice chosen
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • B. Popowo, Poland
    Popowo, Poland is a small Polish village best known as the birthplace of former president and Solidarity leader Lech Wałęsa.
  • C. Zamość
    Zamość is a Renaissance-planned city in southeastern Poland, renowned for its well-preserved Old Town and UNESCO World Heritage status.
  • D. Kunowice, Poland
    Kunowice, Poland is a village in western Poland near the German border, historically notable as the site of the 1759 Battle of Kunersdorf during the Seven Years' War.
  • E. Gołdap, Poland
    Gołdap is a small spa town in northeastern Poland known for its health resorts, scenic lakes, and proximity to the Russian border.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b3f72c819085e88f1d74495593 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a06c4c81908cc4dca65f2190bd completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.