Triple

T8479158
Position Surface form Disambiguated ID Type / Status
Subject Kiso Mountains E200470 entity
Predicate drainageTo P4497 FINISHED
Object Kiso River 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 | Statement: [Kiso Mountains, drainageTo, Kiso River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiso River
Context triple: [Kiso Mountains, drainageTo, Kiso River]
  • 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. Miya River
    The Miya River is a major river in central Japan’s Mie Prefecture, known for flowing through the city of Ise and playing an important role in the region’s ecology and culture.
  • C. Lukusashi River
    The Lukusashi River is a significant tributary waterway in Zambia that feeds into the larger Luangwa River system.
  • D. Takahashi River
    The Takahashi River is a major river in Okayama Prefecture, Japan, flowing through cities such as Kurashiki before emptying into the Seto Inland Sea.
  • E. Akuta River
    The Akuta River is a waterway located in Japan's Ibaraki Prefecture, contributing to the region's local drainage and landscape.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5216d6481908e25a49bcc2e00cc completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d07719ee048190ac4045017d89e938 completed April 4, 2026, 2:27 a.m.
Created at: March 30, 2026, 6:12 p.m.