Triple

T2276164
Position Surface form Disambiguated ID Type / Status
Subject Gondar region E50775 entity
Predicate locatedNear P294 FINISHED
Object Lake Tana E39450 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 Tana | Statement: [Gondar region, locatedNear, Lake Tana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Tana
Context triple: [Gondar region, locatedNear, Lake Tana]
  • A. Lake Tana chosen
    Lake Tana is Ethiopia’s largest lake and the primary source of the Blue Nile, renowned for its island monasteries and ecological importance in the Ethiopian Highlands.
  • 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. Lak Nuer
    Lak Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
  • 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 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.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ecc600819095dd4f69af1d18d8 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f0ed1b881909ba3c7f9fea50267 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.