Triple

T22618151
Position Surface form Disambiguated ID Type / Status
Subject Yeji E558201 entity
Predicate waterBody P1778 FINISHED
Object Lake Volta 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: Lake Volta | Statement: [Yeji, waterBody, Lake Volta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Volta
Context triple: [Yeji, waterBody, Lake Volta]
  • A. Lake Volta chosen
    Lake Volta is one of the world’s largest artificial reservoirs by surface area, created by the Akosombo Dam on the Volta River in Ghana.
  • B. Lake Victoria
    Lake Victoria is a vast freshwater lake in East Africa, bordered by Tanzania, Uganda, and Kenya, and is renowned as the world’s largest tropical lake and a vital regional resource.
  • C. Lake Victoria
    Lake Victoria is a coastal lagoon within Australia’s Gippsland Lakes system, known for its shallow waters, birdlife, and recreational boating and fishing.
  • D. Lake Afrera
    Lake Afrera is a hypersaline lake in Ethiopia’s Afar Depression, known for its extreme heat, low elevation below sea level, and surrounding volcanic landscape.
  • E. Lake Turkana
    Lake Turkana is a large, saline lake in Kenya’s arid north, renowned for its striking turquoise waters, rich biodiversity, and significant archaeological sites along its shores.
  • 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_69e24545a8e08190bfa7482a2c725ff1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f167ef7a148190870334af9c8b79a4 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:59 p.m.