Triple

T2749839
Position Surface form Disambiguated ID Type / Status
Subject Bihar E60958 entity
Predicate hasRiver P165 FINISHED
Object Kosi E28900 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: Kosi | Statement: [Bihar, hasRiver, Kosi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kosi
Context triple: [Bihar, hasRiver, Kosi]
  • A. Kosi chosen
    Kosi is a major Himalayan river in northern India and Nepal, often called the "Sorrow of Bihar" for its frequent and devastating floods before joining the Ganges.
  • B. Lunga River
    Lunga River is a river in the Solomon Islands on Guadalcanal, known for its strategic significance during World War II, particularly in the Guadalcanal campaign.
  • C. Tugela River
    The Tugela River is one of South Africa’s major rivers, flowing through the province of KwaZulu-Natal from the Drakensberg Mountains to the Indian Ocean.
  • D. Limpopo River
    The Limpopo River is a major river in southern Africa that flows eastward from central southern Africa to the Indian Ocean, forming parts of the borders between several countries including South Africa, Botswana, and Zimbabwe.
  • E. Vaal River
    The Vaal River is one of South Africa’s major rivers, forming part of the border of Gauteng and serving as a key source of water for industry, agriculture, and urban areas.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb52b1d48190b6ab511cc8834a14 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b38ba5bc088190bd656c2959cdfb6a completed March 13, 2026, 3:59 a.m.
Created at: March 6, 2026, 9:56 p.m.