Triple

T10255191
Position Surface form Disambiguated ID Type / Status
Subject Aomori Prefecture E240442 entity
Predicate contains P35 FINISHED
Object Hakkoda Mountains E829783 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: Hakkoda Mountains | Statement: [Aomori Prefecture, contains, Hakkoda Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hakkoda Mountains
Context triple: [Aomori Prefecture, contains, Hakkoda Mountains]
  • A. Hakkoda Mountains chosen
    The Hakkoda Mountains are a volcanic mountain range in northern Honshu, Japan, known for heavy snowfall, hot springs, and scenic hiking and skiing.
  • B. 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.
  • C. Kosado Mountains
    The Kosado Mountains are a mountain range located on Sado Island in Niigata Prefecture, Japan, known for their rugged terrain and natural scenery.
  • 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. Hokusetsu Mountains
    The Hokusetsu Mountains are a mountain range in northern Osaka Prefecture, Japan, known for their forested slopes, waterfalls, and popular hiking and nature spots near the Osaka metropolitan 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d24c69ac81908b4da53d13407ac8 completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7d7ff0c8190b8c9cf063532cdf2 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:30 a.m.