Triple

T1154078
Position Surface form Disambiguated ID Type / Status
Subject Olympic Mountains E23742 entity
Predicate contains P35 FINISHED
Object Hoh Rain Forest E83839 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: Hoh Rain Forest | Statement: [Olympic Mountains, contains, Hoh Rain Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoh Rain Forest
Context triple: [Olympic Mountains, contains, Hoh Rain Forest]
  • A. Hoh Rain Forest chosen
    Hoh Rain Forest is a lush temperate rainforest in Washington State known for its heavy rainfall, dense moss-draped trees, and rich biodiversity.
  • B. Quinault Rain Forest
    Quinault Rain Forest is a lush temperate rainforest in Washington State known for its towering old-growth trees, abundant rainfall, and scenic lakes and trails.
  • C. Giant Forest
    Giant Forest is a renowned grove of massive giant sequoia trees in California, home to some of the largest trees on Earth, including the General Sherman Tree.
  • D. Daisetsuzan National Park
    Daisetsuzan National Park is Japan’s largest national park, renowned for its rugged volcanic mountains, alpine landscapes, and rich wildlife in central Hokkaido.
  • E. Karura Forest
    Karura Forest is a protected urban forest in Nairobi, Kenya, known for its walking trails, waterfalls, caves, and rich biodiversity.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8e9cb481908a528a828b21d497 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb81790819087016b1620353417 completed March 7, 2026, 5:22 p.m.
Created at: March 1, 2026, 7:44 p.m.