Triple

T1423357
Position Surface form Disambiguated ID Type / Status
Subject Seven Summits E30275 entity
Predicate hasPart 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: [Seven Summits, hasPart, Denali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denali
Context triple: [Seven Summits, hasPart, 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. Denali
    Denali is GMC’s premium luxury trim line, known for adding upscale features, refined styling, and advanced technology to its vehicles.
  • 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. Mount Wrangell
    Mount Wrangell is a massive active shield volcano in eastern Alaska, known as one of the largest and most voluminous volcanoes in the United States.
  • E. Wrangell
    Wrangell is a small coastal city in southeastern Alaska known for its fishing industry, Native Tlingit heritage, and access to surrounding wilderness and waterways.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4ba798881909c2259987248b030 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad0161e23c819099a1c72627f13dd0 completed March 8, 2026, 4:56 a.m.
Created at: March 1, 2026, 8 p.m.