Triple

T10130781
Position Surface form Disambiguated ID Type / Status
Subject Bhote Koshi River E226331 entity
Predicate tributaryOf P415 FINISHED
Object Sun Koshi River E908217 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: Sun Koshi River | Statement: [Bhote Koshi River, tributaryOf, Sun Koshi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sun Koshi River
Context triple: [Bhote Koshi River, tributaryOf, Sun Koshi River]
  • A. Sun Koshi River chosen
    The Sun Koshi River is a major Himalayan river in Nepal, renowned for its long, challenging white-water rafting routes and its role as a key tributary of the Koshi river system.
  • B. Kiso River
    The Kiso River is a major river in central Japan known for flowing through the Kiso Valley and contributing to the Nōbi Plain’s fertile landscape.
  • C. Segama River
    The Segama River is one of the longest and most significant rivers in the Malaysian state of Sabah, known for flowing through rich rainforest and wildlife habitats in eastern Borneo.
  • D. Kamanashi River
    The Kamanashi River is a major river in central Japan that flows through Yamanashi Prefecture as part of the upper Fuji River system.
  • E. Hozu River
    The Hozu River is a scenic waterway in Kyoto Prefecture, Japan, famed for its traditional boat rides through forested gorges and views of the Arashiyama area.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69e482d55a04819090d95f7a4abb6e29 completed April 19, 2026, 7:23 a.m.
Created at: March 30, 2026, 9:05 p.m.