Triple

T2202787
Position Surface form Disambiguated ID Type / Status
Subject Japanese Alps E50527 entity
Predicate drainage P1559 FINISHED
Object Kiso River basin E85808 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: Kiso River basin | Statement: [Japanese Alps, drainage, Kiso River basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiso River basin
Context triple: [Japanese Alps, drainage, Kiso River basin]
  • A. Kiso River chosen
    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.
  • B. Yana River basin
    The Yana River basin is a large Arctic drainage area in northeastern Siberia, encompassing the watershed of the Yana River as it flows northward to the Laptev Sea.
  • C. Kizu River
    The Kizu River is a significant river in Japan’s Kansai region that flows through Nara and Kyoto Prefectures before joining the Yodo River system.
  • D. Akuta River
    The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local drainage and landscape.
  • E. Yasu River
    The Yasu River is a significant river in Japan’s Kansai region that flows through Shiga Prefecture and ultimately drains into Lake Biwa.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa33f0881908403604eafb73ecf completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb664bd8481909e3d003d41dfc213 completed March 10, 2026, 6:12 a.m.
Created at: March 4, 2026, 7:46 p.m.