Triple

T12833035
Position Surface form Disambiguated ID Type / Status
Subject Sayan Mountains E306834 entity
Predicate drainedBy P165 FINISHED
Object Angara River E322487 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: Angara River | Statement: [Sayan Mountains, drainedBy, Angara River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angara River
Context triple: [Sayan Mountains, drainedBy, Angara River]
  • A. Angara River chosen
    The Angara River is a major river in Siberia that flows northward from Lake Baikal through Irkutsk Oblast before joining the Yenisei River.
  • B. Upper Angara River
    The Upper Angara River is a major Siberian river in Russia that flows through Buryatia and Zabaykalsky Krai before emptying into Lake Baikal.
  • C. Angara
    Angara is a family of Russian modular space-launch vehicles designed to provide flexible, modern access to orbit from sites such as the Plesetsk Cosmodrome.
  • 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. Lena River
    The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb0bb208190bdc4d3dc7909be06 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 5:34 p.m.