Triple

T732262
Position Surface form Disambiguated ID Type / Status
Subject Denali E14856 entity
Predicate formerName P65 FINISHED
Object Mount McKinley E14856 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 McKinley | Statement: [Denali, formerName, Mount McKinley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount McKinley
Context triple: [Denali, formerName, Mount McKinley]
  • A. Denali chosen
    Denali is the tallest mountain in North America, a prominent peak in the Alaska Range known for its extreme elevation and challenging climbing conditions.
  • B. Denali
    Denali is GMC’s premium luxury trim line, known for adding upscale features, refined styling, and advanced technology to its vehicles.
  • C. Mount Rainier
    Mount Rainier is a massive glaciated stratovolcano in Washington State and one of the most prominent and potentially hazardous volcanoes in the United States.
  • D. Mount Aigaleo
    Mount Aigaleo is a low mountain range in the Attica region of Greece, west of Athens, known for its historical and strategic significance overlooking the ancient battlefield of Salamis.
  • E. Mount Bachelor
    Mount Bachelor is a prominent volcanic peak in central Oregon known for its large ski resort and extensive winter recreation opportunities.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d5a6b48190a2c81bfc3c6faa25 completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79280fa5c819098397cc1b5c626c0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.