Triple

T12910466
Position Surface form Disambiguated ID Type / Status
Subject Tselinograd E308846 entity
Predicate locatedOnRiver P165 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: [Tselinograd, locatedOnRiver, Ishim River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ishim River
Context triple: [Tselinograd, locatedOnRiver, 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. Tadami River
    The Tadami River is a scenic river in Japan’s Tōhoku region, renowned for its picturesque valleys, hydroelectric dams, and iconic railway bridges, especially within Fukushima Prefecture.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ebbc67c8190bd930a2773edb5b2 completed May 10, 2026, 4:51 a.m.
Created at: April 9, 2026, 5:41 p.m.