Triple

T9190764
Position Surface form Disambiguated ID Type / Status
Subject Dobre Miasto E220582 entity
Predicate locatedOnRiver P165 FINISHED
Object Łyna River E879638 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: Łyna River | Statement: [Dobre Miasto, locatedOnRiver, Łyna River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łyna River
Context triple: [Dobre Miasto, locatedOnRiver, Łyna River]
  • A. Łyna River chosen
    The Łyna River is a major river in northeastern Poland and the Kaliningrad Oblast of Russia, known for flowing through historic towns and scenic lowland landscapes before emptying into the Pregolya River.
  • B. Mleczna River
    The Mleczna River is a small river in central Poland that flows through the city of Radom and forms part of its local water system.
  • C. Świna River
    The Świna River is a strait in northwestern Poland that connects the Szczecin Lagoon with the Baltic Sea and separates the islands of Wolin and Usedom.
  • D. Liwiec River
    The Liwiec River is a tributary of the Bug River in eastern Poland, known for its scenic, relatively unspoiled valley and importance to the surrounding rural landscapes and towns.
  • E. Miedzianka River
    The Miedzianka River is a small river in southwestern Poland that flows through the town of Bogatynia near the Czech and German borders.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bf25c081909e651b67ef8ecc33 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbac7a42348190a86fa5a97e3d36ca completed April 12, 2026, 2:30 p.m.
Created at: March 30, 2026, 7:24 p.m.