Triple

T13846421
Position Surface form Disambiguated ID Type / Status
Subject Hron River E332816 entity
Predicate hasRightTributary P415 FINISHED
Object Nitra River E492393 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: Nitra River | Statement: [Hron River, hasRightTributary, Nitra River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitra River
Context triple: [Hron River, hasRightTributary, Nitra River]
  • A. Nitra River chosen
    The Nitra River is a significant river in western Slovakia that flows through several towns and agricultural regions before joining the Váh River.
  • B. Žitava River
    The Žitava River is a river in southern Slovakia that flows through the Danubian Lowland before joining the Nitra River.
  • C. Opava River
    The Opava River is a significant watercourse in the Czech Republic that flows through the historical region of Silesia, including the city of Opava, before joining the Oder River.
  • D. Bystrica River
    The Bystrica River is a Slovak river that flows through central Slovakia and joins the Hron River as one of its notable tributaries.
  • E. Brda River
    The Brda River is a significant river in northern Poland that flows through the city of Bydgoszcz and is known for its scenic landscapes and recreational opportunities.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b38823881909c9df93371782b47 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 10:13 p.m.