Triple

T8479146
Position Surface form Disambiguated ID Type / Status
Subject Mount Hōken E200470 entity
Predicate locatedIn P40 FINISHED
Object Kiso Mountains E200470 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 Mountains | Statement: [Mount Hōken, locatedIn, Kiso Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiso Mountains
Context triple: [Mount Hōken, locatedIn, Kiso Mountains]
  • A. Kiso Mountains chosen
    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.
  • B. 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.
  • C. 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.
  • D. Tanzawa Mountains
    The Tanzawa Mountains are a rugged mountain range in Kanagawa Prefecture, Japan, known for their forested peaks, hiking trails, and proximity to the Tokyo metropolitan area.
  • E. Osado Mountains
    The Osado Mountains are a rugged mountain range forming the prominent northern backbone of Sado Island in Niigata Prefecture, Japan.
  • 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_69cea83707e481909f9dfd6450a28d3d completed April 2, 2026, 5:32 p.m.
Created at: March 30, 2026, 6:12 p.m.