Triple

T16771012
Position Surface form Disambiguated ID Type / Status
Subject Abakan River E407593 entity
Predicate flowsInto P408 FINISHED
Object Yenisei River E59520 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: Yenisei River | Statement: [Abakan River, flowsInto, Yenisei River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yenisei River
Context triple: [Abakan River, flowsInto, Yenisei River]
  • A. Yenisei River chosen
    The Yenisei River is one of the longest rivers in Asia, flowing northward through Siberia to the Arctic Ocean and forming a major part of the central Eurasian river system.
  • B. Angara River
    The Angara River is a major river in Siberia that flows northward from Lake Baikal through Irkutsk Oblast before joining the Yenisei River.
  • C. Yeniseysk
    Yeniseysk is a historic town in central Siberia, Russia, situated on the Yenisei River and known for its well-preserved 18th–19th century architecture.
  • D. Bolshaya Urta River
    The Bolshaya Urta River is a smaller watercourse in Russia that serves as one of the tributaries feeding into the Samara River system.
  • E. Irkut River
    The Irkut River is a Siberian river in Russia that flows through the Irkutsk Oblast and the city of Irkutsk before joining the Angara River.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0361e5081908f58edf766ff3ce0 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc0dcd081909f715e0f2aad67c7 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:21 a.m.