Triple

T13860143
Position Surface form Disambiguated ID Type / Status
Subject Tabletop Range E333170 entity
Predicate contains P35 FINISHED
Object Florence Falls E351218 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: Florence Falls | Statement: [Tabletop Range, contains, Florence Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florence Falls
Context triple: [Tabletop Range, contains, Florence Falls]
  • A. Florence Falls chosen
    Florence Falls is a picturesque twin waterfall and popular swimming spot set amid monsoon forest in Australia’s Litchfield National Park.
  • B. Cochecho Falls
    Cochecho Falls is a historic waterfall and former mill site on the Cocheco River in downtown Dover, New Hampshire.
  • C. Buttermilk Falls
    Buttermilk Falls is a picturesque cascading waterfall in New York’s Finger Lakes region, known for its series of natural pools and scenic gorge setting.
  • D. Buttermilk Falls
    Buttermilk Falls is a scenic waterfall located within Cuyahoga Valley National Park in Ohio, known for its picturesque cascades and tranquil natural setting.
  • E. Slate Falls
    Slate Falls is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed314bb9481908144c5399aa62ffa completed May 9, 2026, 6:24 a.m.
Created at: April 9, 2026, 10:14 p.m.