Triple

T4244903
Position Surface form Disambiguated ID Type / Status
Subject University of Wrocław E95504 entity
Predicate hasNotableAlumni P51 FINISHED
Object Donald Tusk E240970 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: Donald Tusk | Statement: [University of Wrocław, hasNotableAlumni, Donald Tusk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Tusk
Context triple: [University of Wrocław, hasNotableAlumni, Donald Tusk]
  • A. Donald Tusk chosen
    Donald Tusk is a Polish politician who has served as both Prime Minister of Poland and President of the European Council, playing a major role in European Union politics.
  • B. Bronisław Komorowski
    Bronisław Komorowski is a Polish politician and historian who served as the country’s president from 2010 to 2015.
  • C. Edward Osóbka-Morawski
    Edward Osóbka-Morawski was a Polish socialist politician who served as one of the early post-World War II leaders of communist-dominated Poland, including as prime minister.
  • D. Andrzej Sołyga
    Andrzej Sołyga is a Polish architect known for co-designing the Bełżec memorial and museum commemorating victims of the Holocaust.
  • E. Beata Szydło
    Beata Szydło is a Polish politician who served as Prime Minister of Poland from 2015 to 2017.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8c42e88190b309a1ef7f6529ac completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a876a8dc8190b79d7a3d5eec5609 completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:05 p.m.