Triple

T6620226
Position Surface form Disambiguated ID Type / Status
Subject Pregel River E149653 entity
Predicate nameInRussian P20560 FINISHED
Object Pregolya E149653 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: Pregolya | Statement: [Pregel River, nameInRussian, Pregolya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pregolya
Context triple: [Pregel River, nameInRussian, Pregolya]
  • A. Bóbr River
    The Bóbr River is a major river in southwestern Poland that flows through the Sudetes and Lower Silesia before joining the Oder.
  • B. Vilnia River
    The Vilnia River is a picturesque tributary of the Neris River in Lithuania, flowing through and giving its name to the capital city of Vilnius.
  • C. Pregel River chosen
    The Pregel River is a waterway in the Kaliningrad region of Russia (historically East Prussia) that flows through the former city of Königsberg before emptying into the Baltic Sea.
  • D. Neman River
    The Neman River is a major river in Eastern Europe that flows through Belarus and Lithuania before emptying into the Baltic Sea.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7aff44819089da6145e1ef5f76 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbe2bcfc8190a3224c688443edc9 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:58 p.m.