Triple

T23303131
Position Surface form Disambiguated ID Type / Status
Subject Mount Sam Adams E590358 entity
Predicate near P350 FINISHED
Object Mount Madison NE NERFINISHED

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 Madison | Statement: [Mount Sam Adams, near, Mount Madison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Madison
Context triple: [Mount Sam Adams, near, Mount Madison]
  • A. Mount Madison chosen
    Mount Madison is one of New Hampshire’s Presidential Range peaks in the White Mountains, popular with hikers for its rugged alpine terrain and panoramic views.
  • B. Mount Cushman
    Mount Cushman is a small mountain in Thornton, New Hampshire, known as the town’s highest natural elevation point within the White Mountains region.
  • C. Mount Sullivan
    Mount Sullivan is a notable natural landmark near the coastal town of Port St Johns in South Africa’s Eastern Cape.
  • D. Mount Moran
    Mount Moran is a prominent, glaciated mountain peak in Wyoming’s Grand Teton National Park, known for its striking vertical cliffs and popularity among climbers and photographers.
  • E. Mount Adam
    Mount Adam is the tallest mountain on West Falkland in the Falkland Islands, known for its rugged terrain and panoramic views over the surrounding landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19724de488190ac8eb89253c8dd53 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.