Triple

T1846808
Position Surface form Disambiguated ID Type / Status
Subject Poti E41301 entity
Predicate locatedOn P40 FINISHED
Object Rioni River E80336 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: Rioni River | Statement: [Poti, locatedOn, Rioni River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rioni River
Context triple: [Poti, locatedOn, Rioni River]
  • A. Rioni River chosen
    The Rioni River is a major waterway in western Georgia that flows from the Caucasus Mountains to the Black Sea, historically serving as an important trade and cultural route.
  • B. Itaya River
    The Itaya River is a tributary of the Amazon River in northeastern Peru that flows past the city of Iquitos and plays a key role in the region’s transportation and ecology.
  • C. Ariguanabo River
    The Ariguanabo River is a waterway in western Cuba that flows through the town of San Antonio de los Baños in Artemisa Province.
  • D. Otaio River
    The Otaio River is a small river in the South Island of New Zealand that flows through rural Canterbury farmland before reaching the Pacific Ocean.
  • E. Yodo River
    The Yodo River is a major waterway in Japan’s Kansai region that flows through Kyoto and Osaka, historically serving as an important route for transport, trade, and urban development.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb052e0a8819091bbc0da0e0a20fb completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7154648190aa55d54ca5e50559 completed March 10, 2026, 7:55 a.m.
Created at: March 4, 2026, 7:33 p.m.