Triple

T6897093
Position Surface form Disambiguated ID Type / Status
Subject Teton Range E159396 entity
Predicate contains P35 FINISHED
Object Mount Moran E419122 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 Moran | Statement: [Teton Range, contains, Mount Moran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Moran
Context triple: [Teton Range, contains, Mount Moran]
  • A. Mount Moran chosen
    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.
  • B. Mount Madison
    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.
  • C. Mount Foraker
    Mount Foraker is one of the highest and most prominent peaks in Alaska, located near Denali in the central Alaska Range.
  • D. White Mountain Peak
    White Mountain Peak is a prominent mountain in eastern California’s White Mountains and one of the highest summits in the state, known for its alpine environment and research observatory.
  • E. Mount Bierstadt
    Mount Bierstadt is a popular Colorado fourteener known for its relatively accessible hike and scenic alpine views near Guanella Pass.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95c44a48190876d62749411bbb6 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941f469c881908e83cfd6c8191af1 completed March 29, 2026, 3:15 p.m.
Created at: March 27, 2026, 2:24 p.m.