Triple

T14945043
Position Surface form Disambiguated ID Type / Status
Subject Marymere Falls Trail E372634 entity
Predicate namedAfter P63 FINISHED
Object Marymere Falls E1134541 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: Marymere Falls | Statement: [Marymere Falls Trail, namedAfter, Marymere Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marymere Falls
Context triple: [Marymere Falls Trail, namedAfter, Marymere Falls]
  • A. Marymere Falls chosen
    Marymere Falls is a picturesque waterfall in Washington's Olympic National Park, known for its lush forest setting and popular hiking access.
  • B. Govetts Leap Falls
    Govetts Leap Falls is a spectacular, high-plunging waterfall in the Blue Mountains of New South Wales, Australia, renowned for its dramatic cliffside setting and panoramic valley views.
  • C. Candayvic Falls
    Candayvic Falls is a scenic waterfall and natural attraction located in the municipality of Samboan in Cebu, Philippines.
  • D. Argyle Falls
    Argyle Falls is a popular multi-tiered waterfall in Tobago known for its scenic rainforest setting and natural swimming pools.
  • E. Narada Falls
    Narada Falls is a popular, scenic waterfall in Washington State known for its dramatic two-tier drop and easy access within Mount Rainier National Park.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7d554808190a0a87d9f5e225d31 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:39 a.m.