Triple

T12525596
Position Surface form Disambiguated ID Type / Status
Subject Oral E299430 entity
Predicate locatedOnRiver P165 FINISHED
Object Chagan River E278498 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: Chagan River | Statement: [Oral, locatedOnRiver, Chagan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chagan River
Context triple: [Oral, locatedOnRiver, Chagan River]
  • A. Chagan River chosen
    The Chagan River is a smaller watercourse in Russia and Kazakhstan that feeds into the Ural River within the Ural basin.
  • B. Argun River
    The Argun River is a major river in Northeast Asia that forms part of the border between Russia and China and serves as one of the headwaters of the Amur River.
  • C. Barguzin River
    The Barguzin River is a major river in eastern Siberia, Russia, that flows through the Barguzin Valley before emptying into Lake Baikal.
  • D. Khatanga River
    The Khatanga River is a major river in northern Siberia that flows through the Krasnoyarsk Krai region of Russia before emptying into the Arctic Ocean.
  • E. Tuman River
    The Tuman River is a border river in Northeast Asia that flows between China, North Korea, and Russia before emptying into the Sea of Japan.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eac3ebd08190beb13fa00331f27b completed May 3, 2026, 6:27 a.m.
Created at: April 8, 2026, 9:57 p.m.