Triple

T13114017
Position Surface form Disambiguated ID Type / Status
Subject Märkisch-Oderland E311046 entity
Predicate borders P224 FINISHED
Object Oder River E28210 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: Oder River | Statement: [Märkisch-Oderland, borders, Oder River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oder River
Context triple: [Märkisch-Oderland, borders, Oder River]
  • A. Oder River chosen
    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.
  • B. Vistula River
    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.
  • C. Bóbr River
    The Bóbr River is a major river in southwestern Poland that flows through the Sudetes and Lower Silesia before joining the Oder.
  • D. Krzyworzeka River
    Krzyworzeka River is a minor river in southern Poland that serves as one of the tributaries feeding into the Raba River.
  • E. Wierna Rzeka
    Wierna Rzeka is a river in south-central Poland, known for flowing through the Świętokrzyskie region and lending its name to a famous Polish historical novel.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7265d09d881909c21423d93af39cd completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 9:06 p.m.