Triple

T2260036
Position Surface form Disambiguated ID Type / Status
Subject Afar Triangle E50015 entity
Predicate contains P35 FINISHED
Object Lake Afrera E200408 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: Lake Afrera | Statement: [Afar Triangle, contains, Lake Afrera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Afrera
Context triple: [Afar Triangle, contains, Lake Afrera]
  • A. Lake Afrera chosen
    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.
  • B. 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.
  • C. 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.
  • D. Lake Volta
    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.
  • E. Lake Chad
    Lake Chad is a large, shallow, and historically significant freshwater lake in north-central Africa that has dramatically shrunk in size over recent decades due to climate change and human use.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc15be1288190a55c12674f4a5e03 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea86527d08190a1332d133fbd7293 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:48 p.m.