Triple

T11736836
Position Surface form Disambiguated ID Type / Status
Subject Hirose River E279048 entity
Predicate sourceLocation P40 FINISHED
Object Ōu Mountains E468708 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: Ōu Mountains | Statement: [Hirose River, sourceLocation, Ōu Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ōu Mountains
Context triple: [Hirose River, sourceLocation, Ōu Mountains]
  • A. Ou Mountains chosen
    The Ou Mountains are a major volcanic mountain range running north–south through Japan’s Tohoku region on the island of Honshu.
  • B. Nu Mountains
    The Nu Mountains are a rugged mountain range in southwestern China that form part of the eastern edge of the Tibetan Plateau and help define the deep, parallel river gorges of the Hengduan region.
  • C. Kiso Mountains
    The Kiso Mountains are a prominent mountain range in central Japan known for their rugged peaks, dense forests, and role as part of the Japanese Alps.
  • D. Taka Mountains
    The Taka Mountains are a rugged, picturesque mountain range near Kassala in eastern Sudan, known for their dramatic granite outcrops and cultural significance.
  • E. Hakkoda Mountains
    The Hakkoda Mountains are a volcanic mountain range in northern Honshu, Japan, known for heavy snowfall, hot springs, and scenic hiking and skiing.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4edced48190b7a59dd45921828e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019b318188190bfb7effcf42974d2 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.