Triple

T6629213
Position Surface form Disambiguated ID Type / Status
Subject Presidential Range E149878 entity
Predicate contains P35 FINISHED
Object Mount Madison E597487 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 Madison | Statement: [Presidential Range, contains, Mount Madison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Madison
Context triple: [Presidential Range, contains, 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 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.
  • C. 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.
  • D. Mount Foraker
    Mount Foraker is one of the highest and most prominent peaks in Alaska, located near Denali in the central Alaska Range.
  • E. Keynot Peak
    Keynot Peak is a prominent mountain summit in eastern California known for being the loftiest point in the remote and rugged Inyo Mountains range.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa4a08481908cb5a554f388f32a completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c93f988ab0819081e3b15bb7414c99 completed March 29, 2026, 3:04 p.m.
Created at: March 27, 2026, 1:59 p.m.