Triple

T15954342
Position Surface form Disambiguated ID Type / Status
Subject Pestovo E386895 entity
Predicate locatedOn P40 FINISHED
Object Mologa 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: Mologa River | Statement: [Pestovo, locatedOn, Mologa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mologa River
Context triple: [Pestovo, locatedOn, Mologa River]
  • A. Mologa River chosen
    The Mologa River is a significant waterway in western Russia that flows through several regions before emptying into the Rybinsk Reservoir on the Volga River.
  • B. Ulanga River
    The Ulanga River is a fictional East African waterway famously depicted as the treacherous river route navigated in C.S. Forester’s novel and the classic film "The African Queen."
  • C. Mbagathi River
    Mbagathi River is a watercourse in Kenya that forms part of the southern boundary of Nairobi National Park and supports its wildlife and ecosystems.
  • D. Ruganzu River
    Ruganzu River is a waterway in Rwanda that flows through the capital city, Kigali.
  • E. Nyatande River
    Nyatande River is a lesser-known river in eastern Zimbabwe that serves as a tributary within the Odzi 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f810148190ab4989a0e4a5f8c0 completed April 16, 2026, 9:39 p.m.
Created at: April 10, 2026, 4:53 a.m.