Triple

T2569929
Position Surface form Disambiguated ID Type / Status
Subject Eastern Georgia E57639 entity
Predicate traversedByRiver P165 FINISHED
Object Iori River E146445 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: Iori River | Statement: [Eastern Georgia, traversedByRiver, Iori River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iori River
Context triple: [Eastern Georgia, traversedByRiver, Iori River]
  • A. Iori River chosen
    The Iori River is a river in the South Caucasus that flows through eastern Georgia and parts of Azerbaijan before joining the Kura (Mtkvari) River.
  • B. Yoshii River
    The Yoshii River is a significant river in Japan that serves as one of the main tributaries feeding the larger Shinano River system.
  • C. Akuta River
    The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local drainage and landscape.
  • D. Osuga River
    The Osuga River is a watercourse in Russia that flows through the Tver Oblast region, passing near the village of Pryamukhino.
  • E. Aruwimi River
    The Aruwimi River is a significant river in the Democratic Republic of the Congo, known for flowing through dense equatorial rainforest and contributing substantially to the Congo River basin.
  • 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_69ab4a51410081908501dcf8bad9adc4 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd382928c8190b6316f3db48d8e73 completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3a133848190a8585a4d9cde0396 completed March 12, 2026, 5:10 p.m.
Created at: March 6, 2026, 9:48 p.m.