Triple

T19044718
Position Surface form Disambiguated ID Type / Status
Subject Uva Province E466101 entity
Predicate hasLandmark P105 FINISHED
Object Dunhinda Falls 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: Dunhinda Falls | Statement: [Uva Province, hasLandmark, Dunhinda Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunhinda Falls
Context triple: [Uva Province, hasLandmark, Dunhinda Falls]
  • A. Dunhinda Falls chosen
    Dunhinda Falls is a famous and picturesque waterfall near Badulla in Sri Lanka, renowned for its misty spray and lush surrounding scenery.
  • B. Nandroya Falls
    Nandroya Falls is a picturesque multi-tiered waterfall in tropical north Queensland, Australia, known for its lush rainforest setting and popular hiking track.
  • C. Furepe Falls
    Furepe Falls is a scenic coastal waterfall in Japan’s Shiretoko Peninsula, known for its dramatic drop from seaside cliffs directly into the Sea of Okhotsk and its rich surrounding wildlife.
  • D. Casaroro Falls
    Casaroro Falls is a scenic, secluded waterfall in Valencia, Negros Oriental, known for its tall, narrow cascade surrounded by lush forest and rugged terrain.
  • E. Joranda Falls
    Joranda Falls is a prominent and scenic waterfall located within Simlipal National Park in Odisha, India.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d803b2b08190b057d4b5bc555d4f completed April 20, 2026, 7:38 a.m.
Created at: April 10, 2026, 12:03 p.m.