Triple

T6813548
Position Surface form Disambiguated ID Type / Status
Subject Kagawong E156694 entity
Predicate knownFor P22 FINISHED
Object Bridal Veil Falls E157585 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: Bridal Veil Falls | Statement: [Kagawong, knownFor, Bridal Veil Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridal Veil Falls
Context triple: [Kagawong, knownFor, Bridal Veil Falls]
  • A. Bridal Veil Falls chosen
    Bridal Veil Falls is a picturesque waterfall on Manitoulin Island in Ontario, Canada, known for its curtain-like cascade and popular swimming and hiking area.
  • B. Bridal Veil Falls
    Bridal Veil Falls is the smallest of the three main waterfalls that make up Niagara Falls, located on the American side between Luna Island and Goat Island.
  • C. Bridal Veil Falls
    Bridal Veil Falls is a picturesque waterfall near Sabie in South Africa’s Mpumalanga province, popular for its delicate, veil-like cascade and scenic hiking opportunities.
  • D. Bridal Veil waterfall
    Bridal Veil waterfall is a picturesque, slender cascade in Norway that plunges into the UNESCO-listed Geirangerfjord and is famed for its veil-like appearance.
  • E. Marmore Falls
    Marmore Falls is a famous man-made waterfall in Umbria, Italy, known for its impressive height and scenic beauty.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32b012481909b73784899ec2a0d completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f9d19bc8190bbdc20178239bae1 completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:17 p.m.