Triple

T6026136
Position Surface form Disambiguated ID Type / Status
Subject Tatar ASSR E134185 entity
Predicate locatedOn P40 FINISHED
Object Kama River E53216 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: Kama River | Statement: [Tatar ASSR, locatedOn, Kama River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kama River
Context triple: [Tatar ASSR, locatedOn, Kama River]
  • A. Kama River chosen
    The Kama River is a major waterway in western Russia that serves as one of the largest and most significant tributaries of the Volga River.
  • B. Lek River
    The Lek River is a major distributary branch of the Rhine in the Netherlands, playing an important role in the country’s inland waterway network and flood management system.
  • C. Great Kwa River
    The Great Kwa River is a significant waterway in southeastern Nigeria known for its rich biodiversity and role in supporting local communities and ecosystems.
  • D. Khari River
    The Khari River is a minor river in western India that serves as a tributary of the Sabarmati River, contributing to the regional drainage and irrigation system.
  • E. Kwando River
    The Kwando River is a major watercourse in southern Africa that flows through Angola, Namibia, and Botswana, supporting rich wetlands and wildlife in the Zambezi basin.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fc08c5c819085afab5b18bce4d1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cae2c7f4819096354202532ae488 completed March 27, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:07 p.m.