Triple

T14171566
Position Surface form Disambiguated ID Type / Status
Subject Florence Falls E351218 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Wangi Falls E334844 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: Wangi Falls | Statement: [Florence Falls, hasNearbyAttraction, Wangi Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wangi Falls
Context triple: [Florence Falls, hasNearbyAttraction, Wangi Falls]
  • A. Wangi Falls chosen
    Wangi Falls is a popular twin waterfall and swimming spot in Australia's Northern Territory, known for its scenic rainforest surroundings and accessible walking tracks.
  • B. Krang Suri Falls
    Krang Suri Falls is a striking turquoise-blue waterfall and popular scenic picnic and swimming spot located in the Jaintia Hills of Meghalaya, India.
  • C. Kakolat Falls
    Kakolat Falls is a scenic multi-tiered waterfall and popular tourist spot located near Nawada in the Indian state of Bihar.
  • D. Pwe Kauk Falls
    Pwe Kauk Falls is a popular scenic waterfall and picnic spot near Pyin Oo Lwin in Myanmar, known for its natural pools, forested surroundings, and local food stalls.
  • E. Katibawasan Falls
    Katibawasan Falls is a scenic, towering waterfall on Camiguin Island in the Philippines, known for its clear, cold waters cascading into a natural pool surrounded by lush tropical forest.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd949df6688190ac92f7e0945bce02 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:01 a.m.