Triple

T3036723
Position Surface form Disambiguated ID Type / Status
Subject Wisła Kraków E83027 entity
Predicate shortName P43 FINISHED
Object Wisła E24092 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: Wisła | Statement: [Wisła Kraków, shortName, Wisła]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisła
Context triple: [Wisła Kraków, shortName, Wisła]
  • A. Vistula River chosen
    The Vistula River is Poland’s longest and most important river, flowing from the Carpathian Mountains to the Baltic Sea and passing through major cities such as Kraków and Warsaw.
  • B. Bóbr River
    The Bóbr River is a major river in southwestern Poland that flows through the Sudetes and Lower Silesia before joining the Oder.
  • C. Dunajec River
    The Dunajec River is a picturesque river in southern Poland and northern Slovakia, renowned for its scenic gorge and popular rafting routes through the Pieniny Mountains.
  • D. Lech River
    The Lech River is a major Alpine river flowing through Austria and southern Germany, known for its scenic course, hydropower use, and role as a tributary of the Danube.
  • E. Oder River
    The Oder River is a major Central European river that flows through the Czech Republic, Poland, and along the Polish–German border before emptying into the Baltic Sea.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2cd4988190b52fe3616ecbe9ef completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3af69288190869eb648d15ad5e7 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:01 p.m.