Triple

T4039279
Position Surface form Disambiguated ID Type / Status
Subject Panhandle of Alaska E83903 entity
Predicate hasHighestPoint P210 FINISHED
Object Mount Fairweather E134639 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: Mount Fairweather | Statement: [Panhandle of Alaska, hasHighestPoint, Mount Fairweather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Fairweather
Context triple: [Panhandle of Alaska, hasHighestPoint, Mount Fairweather]
  • A. Mount Fairweather chosen
    Mount Fairweather is a prominent, heavily glaciated peak on the Alaska–British Columbia border, known as one of the highest and most striking mountains on the Pacific coast of North America.
  • B. Mount Curwood
    Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
  • C. Mount Palmer
    Mount Palmer is a notable mountain peak in Alaska’s Chugach Mountains, known for its rugged alpine terrain and glaciated surroundings.
  • D. Mount Farquhar
    Mount Farquhar is a high, rugged peak in California’s Sierra Nevada, located along the remote Great Western Divide within Sequoia National Park.
  • E. Mount Wister
    Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06886d748190b346a1f4cc2b6f10 completed March 21, 2026, 8:58 p.m.
Created at: March 9, 2026, 3:37 p.m.