Triple

T18656879
Position Surface form Disambiguated ID Type / Status
Subject City of Majestic Waterfalls E456089 entity
Predicate associatedWithWaterfall P13549 FINISHED
Object Dodiongan 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: Dodiongan Falls | Statement: [City of Majestic Waterfalls, associatedWithWaterfall, Dodiongan Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dodiongan Falls
Context triple: [City of Majestic Waterfalls, associatedWithWaterfall, Dodiongan Falls]
  • A. 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.
  • B. Dunhinda Falls
    Dunhinda Falls is a famous and picturesque waterfall near Badulla in Sri Lanka, renowned for its misty spray and lush surrounding scenery.
  • C. Bugnawan Falls chosen
    Bugnawan Falls is a scenic, cold-spring waterfall and popular nature spot located in the municipality of Ginatilan in Cebu, Philippines.
  • D. Kakolat Falls
    Kakolat Falls is a scenic multi-tiered waterfall and popular tourist spot located near Nawada in the Indian state of Bihar.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550864b0481909e59fbcc79fda839 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:47 a.m.