Triple

T18986776
Position Surface form Disambiguated ID Type / Status
Subject Ella E464576 entity
Predicate hasAttraction P105 FINISHED
Object Ravana 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: Ravana Falls | Statement: [Ella, hasAttraction, Ravana Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ravana Falls
Context triple: [Ella, hasAttraction, Ravana Falls]
  • A. Ravana Falls chosen
    Ravana Falls is a famous waterfall and popular tourist attraction in Sri Lanka’s Uva Province, renowned for its scenic beauty and links to the Ramayana legend.
  • B. Pandav Falls
    Pandav Falls is a scenic waterfall near Panna in Madhya Pradesh, India, known for its lush surroundings, mythological association with the Pandavas, and tranquil natural pools.
  • C. Devdari Falls
    Devdari Falls is a scenic waterfall in Uttar Pradesh, India, known for its picturesque cascades amid rocky terrain and lush surroundings that attract nature lovers and tourists.
  • D. Krushuna Falls
    Krushuna Falls is a picturesque series of turquoise travertine waterfalls and pools located in northern Bulgaria, renowned for its lush forest setting and scenic hiking paths.
  • E. Narada Falls
    Narada Falls is a popular, scenic waterfall in Washington State known for its dramatic two-tier drop and easy access within Mount Rainier National Park.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d660835c8190bedd78590b3e0a7e completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.