Triple

T15956199
Position Surface form Disambiguated ID Type / Status
Subject Raška E386940 entity
Predicate hasRiver P165 FINISHED
Object Raška River 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: Raška River | Statement: [Raška, hasRiver, Raška River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raška River
Context triple: [Raška, hasRiver, Raška River]
  • A. Raška River chosen
    The Raška River is a waterway in southwestern Serbia that flows through the city of Novi Pazar and is historically associated with the medieval Raška region.
  • B. Crvena Reka
    Crvena Reka is a smaller river in southeastern Serbia that serves as one of the tributaries feeding into the Nišava River.
  • C. Crna River
    The Crna River is a significant river in North Macedonia that flows through the Pelagonia region before joining the Axios (Vardar) River.
  • D. Bojana River
    The Bojana River is a major waterway in the Balkans that flows from Lake Skadar to the Adriatic Sea, forming part of the border between Montenegro and Albania.
  • E. Bes River
    The Bes River is a regional river in central India that flows near the city of Vidisha in Madhya Pradesh.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
Created at: April 10, 2026, 4:53 a.m.