Triple

T13574535
Position Surface form Disambiguated ID Type / Status
Subject Lugard Falls E324247 entity
Predicate locatedOnRiver P165 FINISHED
Object Galana River E386896 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: Galana River | Statement: [Lugard Falls, locatedOnRiver, Galana River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galana River
Context triple: [Lugard Falls, locatedOnRiver, Galana River]
  • A. Galana River chosen
    The Galana River is a major waterway in southeastern Kenya that flows through Tsavo National Park, supporting diverse wildlife and ecosystems before emptying into the Indian Ocean.
  • B. Inza River
    The Inza River is a waterway in western Russia that serves as a significant tributary within the Volga River basin.
  • C. 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."
  • D. Unya River
    The Unya River is a waterway in northwestern Russia that feeds into the larger Pechora River system.
  • E. Mologa River
    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.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02b1f108190a12af382d1de70bb completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b366470819093a74828e2a85116 completed May 8, 2026, 11:01 p.m.
Created at: April 9, 2026, 9:48 p.m.