Triple

T45374
Position Surface form Disambiguated ID Type / Status
Subject Alaska E890 entity
Predicate contains P35 FINISHED
Object Denali 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: Denali | Statement: [Alaska, contains, Denali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denali
Context triple: [Alaska, contains, Denali]
  • 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. Mount Whitney
    Mount Whitney is the tallest mountain in the contiguous United States, located in the Sierra Nevada range of eastern California.
  • C. Mount Elbert
    Mount Elbert is the highest peak in the Rocky Mountains and the tallest mountain in Colorado, located in the Sawatch Range.
  • D. Backbone Mountain
    Backbone Mountain is a long, rugged ridge of the Allegheny Mountains in the central Appalachian range, known for forming part of the Maryland–West Virginia border and offering forested highland scenery and hiking opportunities.
  • E. Mount Shasta
    Mount Shasta is a prominent, snow-capped stratovolcano in the Cascade Range renowned for its striking prominence, outdoor recreation, and spiritual significance.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24af153b08190b0875b86d591d473 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d4c4fcfc8190bdb6eea9fcb3f1b7 completed Feb. 28, 2026, 11:43 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.