Triple

T7606585
Position Surface form Disambiguated ID Type / Status
Subject Irtysh River E180119 entity
Predicate hasTributary P415 FINISHED
Object Ishim River E289029 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: Ishim River | Statement: [Irtysh River, hasTributary, Ishim River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ishim River
Context triple: [Irtysh River, hasTributary, Ishim River]
  • A. Ishim River chosen
    The Ishim River is a major river in northern Kazakhstan and southern Russia that flows through the capital city of Astana before joining the Irtysh River.
  • B. Ishim
    Ishim is a small historic town in Tyumen Oblast, Russia, located on the Ishim River in southwestern Siberia.
  • C. Kamanashi River
    The Kamanashi River is a major river in central Japan that flows through Yamanashi Prefecture as part of the upper Fuji River system.
  • D. Tuichi River
    The Tuichi River is a waterway in northern Bolivia that flows through the biodiverse Madidi National Park before joining the Beni River in the Amazon Basin.
  • E. Akuta River
    The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local drainage and landscape.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fe10408190b1c12bb8f911cea8 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9061d1be0819094109703ec4a99f7 completed March 29, 2026, 10:59 a.m.
Created at: March 27, 2026, 3:54 p.m.