Triple

T18893466
Position Surface form Disambiguated ID Type / Status
Subject Žilina Basin E462150 entity
Predicate drainedBy P165 FINISHED
Object Rajčanka River E1070037 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: Rajčanka River | Statement: [Žilina Basin, drainedBy, Rajčanka River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajčanka River
Context triple: [Žilina Basin, drainedBy, Rajčanka River]
  • A. Bednja River
    The Bednja River is a river in northern Croatia that flows through towns such as Ludbreg before joining the Drava River.
  • B. Varínka River chosen
    The Varínka River is a mountain river in northern Slovakia that flows through the Malá Fatra region before joining the Váh River.
  • C. Laborec River
    The Laborec River is a significant river in eastern Slovakia that flows through the Carpathian region before joining the Uzh River.
  • D. Ulička River
    Ulička River is a small tributary watercourse in Eastern Europe that feeds into the Uzh River within the Carpathian region.
  • E. Šembera River
    The Šembera River is a small river in the Central Bohemian Region of the Czech Republic that flows through towns such as Český Brod.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47d392c81909297211c7d7610a1 completed April 20, 2026, 6:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0815e6d7b08190a81088e91751aab8 completed May 16, 2026, 6:59 a.m.
Created at: April 10, 2026, 11:58 a.m.