Triple

T11709188
Position Surface form Disambiguated ID Type / Status
Subject Havasupai E278326 entity
Predicate associatedWaterfalls P99642 FINISHED
Object Mooney Falls E87246 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: Mooney Falls | Statement: [Havasupai, associatedWaterfalls, Mooney Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mooney Falls
Context triple: [Havasupai, associatedWaterfalls, Mooney Falls]
  • A. Mooney Falls chosen
    Mooney Falls is a dramatic, high waterfall on Havasu Creek in the Grand Canyon, renowned for its turquoise pools and challenging cliffside access.
  • B. Bracklinn Falls
    Bracklinn Falls is a picturesque waterfall and popular walking destination in the Trossachs near Callander, Scotland.
  • C. Boyne Falls
    Boyne Falls is a small village in northern Michigan known for its proximity to outdoor recreation areas and the Boyne Mountain Resort.
  • D. North Falls
    North Falls is a prominent waterfall in Oregon known for its dramatic plunge and trail that passes behind the cascade within Silver Falls State Park.
  • E. Shepherd’s Falls
    Shepherd’s Falls is the former name of the town now known as Almonte in Ontario, Canada, reflecting its early settlement history along the Mississippi River.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49f072c81909c6a964a92e5bc0c completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280c4d8f4819094f3ebf67f4584a5 completed April 29, 2026, 10:05 p.m.
Created at: April 8, 2026, 9:40 p.m.