Triple

T29916
Position Surface form Disambiguated ID Type / Status
Subject South Lake Tahoe E597 entity
Predicate hasSkiResortNearby P1981 FINISHED
Object Sierra-at-Tahoe E16442 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-at-Tahoe | Statement: [South Lake Tahoe, hasSkiResortNearby, Sierra-at-Tahoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra-at-Tahoe
Context triple: [South Lake Tahoe, hasSkiResortNearby, Sierra-at-Tahoe]
  • A. Mount Shasta
    Mount Shasta is a prominent, snow-capped stratovolcano in the Cascade Range renowned for its striking prominence, outdoor recreation, and spiritual significance.
  • B. South Lake Tahoe
    South Lake Tahoe is a resort city in California known for its access to Lake Tahoe’s beaches, ski resorts, and outdoor recreation.
  • C. Mount Whitney
    Mount Whitney is the tallest mountain in the contiguous United States, located in the Sierra Nevada range of eastern California.
  • D. Northstar California chosen
    Northstar California is a major ski and snowboard resort in the Lake Tahoe region, known for its extensive groomed terrain, family-friendly village, and upscale amenities.
  • E. Mineral King
    Mineral King is a remote alpine valley in California’s Sierra Nevada renowned for its rugged mountain scenery, hiking trails, and historic mining sites.
  • 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_69a2479dec388190967ba648663442c9 completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ac8d59c8190aaf6607f2792ba3a completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce31b6108190a7c2f349db99f009 completed Feb. 28, 2026, 11:14 a.m.
Created at: Feb. 28, 2026, 1:44 a.m.