Triple

T19304312
Position Surface form Disambiguated ID Type / Status
Subject Ergune River E482782 entity
Predicate alsoKnownAs P39 FINISHED
Object Ergun River NE NERFINISHED

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: Ergun River | Statement: [Ergune River, alsoKnownAs, Ergun River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ergun River
Context triple: [Ergune River, alsoKnownAs, Ergun River]
  • A. Ergun River chosen
    The Ergun River is a major river in Northeast Asia that forms part of the border between China and Russia and is one of the headwaters of the Amur River.
  • B. Murat River
    The Murat River is a major tributary of the Euphrates in eastern Turkey, flowing through mountainous regions including the area around Muş.
  • C. Karatal River
    The Karatal River is a significant river in southeastern Kazakhstan that flows through the Almaty Region before emptying into Lake Balkhash.
  • D. Gök River
    Gök River is a tributary watercourse in northwestern Turkey that feeds into the larger Sakarya River system.
  • E. Kars River
    The Kars River is a waterway in northeastern Turkey that flows through the city of Kars and contributes to the region’s drainage into the Aras River basin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c744908190975c71a28acc96cc completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.