Triple

T15536290
Position Surface form Disambiguated ID Type / Status
Subject Washo E370354 entity
Predicate region P40 FINISHED
Object Sierra Nevada (United States) E245 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: Sierra Nevada (United States) | Statement: [Washo, region, Sierra Nevada (United States)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra Nevada (United States)
Context triple: [Washo, region, Sierra Nevada (United States)]
  • 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
    Sierra is a residential neighborhood within the master-planned Great Park Neighborhoods community in Irvine, California.
  • D. Sierra
    Sierra is an off-price retail chain offering discounted brand-name and outdoor gear, operated as a sister brand to Marshalls under the TJX Companies portfolio.
  • 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 (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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442e327c8190b4b879c8a3cd38e3 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c39ffbc819089cea285e8145fa4 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:06 a.m.