Triple

T17410979
Position Surface form Disambiguated ID Type / Status
Subject CA 88 E423358 entity
Predicate crosses P416 FINISHED
Object Sierra Nevada crest NE NERFINISHED

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: Sierra Nevada crest | Statement: [CA 88, crosses, Sierra Nevada crest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra Nevada crest
Context triple: [CA 88, crosses, Sierra Nevada crest]
  • A. Sierra Nevada
    Sierra Nevada is a prominent mountain range in southern Spain known for its high peaks, ski resorts, and inclusion in a national park.
  • B. Sierra Nevada chosen
    Sierra Nevada is a major mountain range in the western United States known for its dramatic granite peaks, extensive forests, and iconic natural landmarks such as Yosemite National Park and Lake Tahoe.
  • C. Sierra Nevada passes
    Sierra Nevada passes are the mountain routes that traverse California’s Sierra Nevada range, providing key transportation corridors through its rugged terrain.
  • D. Sierra Diablo Mountains
    The Sierra Diablo Mountains are a remote, rugged mountain range in West Texas known for their desert landscapes, wildlife habitat, and limited human development.
  • E. Sierra
    Sierra is the Andean highland natural region of Peru, characterized by mountainous terrain, high plateaus, and a cool climate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0a88e881909b2886bd90c92992 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.