Triple

T15862976
Position Surface form Disambiguated ID Type / Status
Subject Monte Rosa glaciers E384636 entity
Predicate near P350 FINISHED
Object Macugnaga valley E750296 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: Macugnaga valley | Statement: [Monte Rosa glaciers, near, Macugnaga valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macugnaga valley
Context triple: [Monte Rosa glaciers, near, Macugnaga valley]
  • A. Kapyong Valley
    Kapyong Valley is a strategically important valley in South Korea known as the site of a major Korean War battle involving United Nations forces.
  • B. Agno Valley chosen
    Agno Valley is a scenic valley in northeastern Italy known for its mountainous landscapes, small towns, and outdoor recreation opportunities.
  • C. Laspur Valley
    Laspur Valley is a remote, high-altitude valley in the Upper Chitral region of northern Pakistan, known for its rugged mountain scenery and traditional Khowar-speaking communities.
  • D. Tiétar Valley
    Tiétar Valley is a fertile, river-carved valley in central Spain known for its mild microclimate, agriculture, and scenic natural landscapes.
  • E. Mimram Valley
    Mimram Valley is the river valley in Hertfordshire, England, shaped by and surrounding the course of the River Mimram.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555d38fc8190bd8820bb5b238b71 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9439db481908be2f6d8a3cfbc85 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.