Triple

T22680600
Position Surface form Disambiguated ID Type / Status
Subject Sapito Falls E560469 entity
Predicate near P350 FINISHED
Object Sapo 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: Sapo Falls | Statement: [Sapito Falls, near, Sapo Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sapo Falls
Context triple: [Sapito Falls, near, Sapo Falls]
  • A. Sapo Falls chosen
    Sapo Falls is a scenic waterfall in Venezuela’s Canaima National Park, known for its broad curtain of water and the unique trail that allows visitors to walk behind the falls.
  • B. Ecola Falls
    Ecola Falls is a scenic waterfall located in the Columbia River Gorge of Oregon, known for its forested setting and accessibility via popular hiking trails.
  • C. Saccarappa Falls
    Saccarappa Falls is a notable waterfall and historic mill site on the Presumpscot River in downtown Westbrook, Maine.
  • D. 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.
  • E. 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.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786027648190972d1b0bbe81ed13 completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:11 p.m.