Triple

T2199776
Position Surface form Disambiguated ID Type / Status
Subject The Smoke that Thunders E50460 entity
Predicate mainSection P3120 FINISHED
Object Rainbow Falls E52317 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: [The Smoke that Thunders, mainSection, Rainbow Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainbow Falls
Context triple: [The Smoke that Thunders, mainSection, Rainbow Falls]
  • A. Rainbow Falls chosen
    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.

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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc5b101d48190a321625720d537b6 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6544c000819095aa63be5b1ed4d6 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.