Triple

T5833125
Position Surface form Disambiguated ID Type / Status
Subject Martvili E129399 entity
Predicate locatedOnRiver P165 FINISHED
Object Abasha River E525736 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: Abasha River | Statement: [Martvili, locatedOnRiver, Abasha River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abasha River
Context triple: [Martvili, locatedOnRiver, Abasha River]
  • A. Abasha River chosen
    The Abasha River is a waterway in western Georgia that flows through the Samegrelo-Zemo Svaneti region before joining the Rioni River.
  • B. Ngadda River
    The Ngadda River is a waterway in northeastern Nigeria that flows through the city of Maiduguri and contributes to the region’s drainage into Lake Chad.
  • C. Gilgil River
    Gilgil River is a freshwater river in Kenya’s Rift Valley that feeds into Lake Naivasha and supports surrounding agricultural and wildlife ecosystems.
  • D. Sumène River
    The Sumène River is a watercourse in south-central France that originates in the Cantal Mountains and flows through the Auvergne region before joining larger river systems.
  • E. Unzha River
    The Unzha River is a significant waterway in central Russia that flows through Kostroma and neighboring regions before joining 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346e6e9c8190a245e5d10595a68f completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c6a0fdc8190be37008d4f036e51 completed March 28, 2026, 9:16 a.m.
Created at: March 22, 2026, 3:54 p.m.