Triple

T20677894
Position Surface form Disambiguated ID Type / Status
Subject Sokołówka E508209 entity
Predicate tributaryOf P415 FINISHED
Object Bzura NE NERFINISHED

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: Bzura | Statement: [Sokołówka, tributaryOf, Bzura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bzura
Context triple: [Sokołówka, tributaryOf, Bzura]
  • A. Bzura chosen
    Bzura is a river in central Poland known for its historical significance, including being the site of a major World War II battle.
  • B. Biegun
    Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
  • C. Borówek
    Borówek is a small village in central Poland located within the administrative district of Gmina Bielawy.
  • D. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • E. Zabok
    Zabok is a small town in northern Croatia known for its role as a local administrative, commercial, and transport center in the Krapina-Zagorje County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea354f0819094e9ee8d3adaa221 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:44 a.m.