Triple

T21880552
Position Surface form Disambiguated ID Type / Status
Subject Flume Cascade E540266 entity
Predicate nearbyFeature P2064 FINISHED
Object Silver Cascade 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: Silver Cascade | Statement: [Flume Cascade, nearbyFeature, Silver Cascade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Cascade
Context triple: [Flume Cascade, nearbyFeature, Silver Cascade]
  • A. Silver Cascade chosen
    Silver Cascade is a scenic roadside waterfall in New Hampshire’s White Mountains, known for its long, tumbling drop alongside Route 302 in Crawford Notch.
  • B. Golden Cascade
    Golden Cascade is a picturesque multi-tiered waterfall along the Berry Creek Falls Trail in Big Basin Redwoods State Park, California.
  • C. Silvermist
    Silvermist is a water-talent fairy from Disney's Tinker Bell franchise, known for her gentle, optimistic personality and close friendship with Tinker Bell.
  • D. Silver Pavilion
    The Silver Pavilion is the iconic main hall of Kyoto’s Ginkaku-ji temple, renowned for its understated Zen aesthetics and influence on Japanese art and culture.
  • E. Silver Meteor
    The Silver Meteor is a long-distance Amtrak passenger train that runs along the U.S. East Coast, connecting New York City and Miami.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e600c08190bc96203f03f1e58a completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:04 p.m.