Triple

T10726894
Position Surface form Disambiguated ID Type / Status
Subject Humera E252971 entity
Predicate locatedOn P40 FINISHED
Object Tekezé River E38893 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: Tekezé River | Statement: [Humera, locatedOn, Tekezé River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tekezé River
Context triple: [Humera, locatedOn, Tekezé River]
  • A. Tekeze River chosen
    The Tekeze River is a major river in the Horn of Africa that flows through northern Ethiopia and Eritrea, carving one of the deepest gorges in Africa before joining the Atbarah River.
  • B. Didessa River
    The Didessa River is a significant tributary of the Blue Nile in western Ethiopia, known for draining a large portion of the Oromia highlands.
  • C. Assa River
    The Assa River is a mountain river in the North Caucasus that flows through parts of Georgia and Russia before joining the Terek River.
  • D. Assa River
    The Assa River is a waterway in the North Caucasus region that flows through parts of Russia and Georgia before joining the Sunzha River.
  • E. Gilgel Abay River
    The Gilgel Abay River is a major Ethiopian river that drains the southwestern highlands and serves as one of the principal tributaries feeding Lake Tana, the source of the Blue Nile.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc713f081909ba1d1b986c1fe5c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb08d63d481908ab1d5038424dab6 completed April 14, 2026, 9:24 p.m.
Created at: April 8, 2026, 9:14 p.m.