Triple

T2293094
Position Surface form Disambiguated ID Type / Status
Subject Main Falls E51548 entity
Predicate downstreamFrom P5956 FINISHED
Object Rainbow Falls unclear NED1 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: Rainbow Falls | Statement: [Main Falls, downstreamFrom, Rainbow Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainbow Falls
Context triple: [Main Falls, downstreamFrom, Rainbow Falls]
  • A. Rainbow Falls
    Rainbow Falls is a notable segment of Victoria Falls renowned for its dramatic height and frequent, vivid rainbows formed in the mist.
  • B. Rainbow Falls
    Rainbow Falls is a scenic waterfall in California’s eastern Sierra Nevada, renowned for its dramatic drop and colorful mist near Mammoth Lakes.
  • C. Rainbow Falls
    Rainbow Falls is a scenic Hawaiian waterfall near Hilo, known for its broad cascade, lush surroundings, and frequent rainbow appearances in the mist.
  • D. Nachi Falls
    Nachi Falls is one of Japan’s tallest and most famous waterfalls, revered as a sacred site and scenic highlight near the Kumano Nachi Taisha shrine in Wakayama Prefecture.
  • E. Sugar Run Falls
    Sugar Run Falls is a scenic waterfall located within Pennsylvania’s Ohiopyle State Park, known for its picturesque cascades amid forested, rocky terrain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5d90d988190b3253b54e5bb5530 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f23ca34819091d2bb0d41613b4a completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.