Triple

T842887
Position Surface form Disambiguated ID Type / Status
Subject Gdańsk E18213 entity
Predicate hasRiver P165 FINISHED
Object Vistula 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: Vistula | Statement: [Gdańsk, hasRiver, Vistula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vistula
Context triple: [Gdańsk, hasRiver, Vistula]
  • 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. 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.
  • 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. Biały Dunajec
    Biały Dunajec is a mountain river in southern Poland that flows through the Podhale region in the Tatra foothills.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe8a0bc81909b54af465e67be1f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2caba8c81908ef693677acbd4cc completed March 7, 2026, 10:12 p.m.
Created at: March 1, 2026, 7:38 p.m.