Triple

T11331181
Position Surface form Disambiguated ID Type / Status
Subject Chimborazo E268346 entity
Predicate hasSummitName P17095 FINISHED
Object Whymper summit E59515 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: Whymper summit | Statement: [Chimborazo, hasSummitName, Whymper summit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whymper summit
Context triple: [Chimborazo, hasSummitName, Whymper summit]
  • A. Whymper summit chosen
    Whymper summit is the principal peak of Ecuador’s Chimborazo volcano, notable for being one of the farthest points from Earth’s center due to the planet’s equatorial bulge.
  • B. Wetterhorn Peak
    Wetterhorn Peak is a prominent fourteener in Colorado known for its distinctive horn-shaped summit and challenging alpine climbing routes.
  • C. South Peak
    South Peak is a prominent summit of Mount Nebo in Utah’s Wasatch Range, known as one of the mountain’s main high points.
  • D. South Peak
    South Peak is the English meaning of the name "Lhotse," the world’s fourth-highest mountain in the Himalayas, located near Mount Everest.
  • E. South Peak
    South Peak is the tallest and most prominent summit of Mount Hua, a famous sacred mountain in China known for its steep cliffs and dramatic hiking trails.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fd38308190a5458be1bfcc89ea completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e54318be088190b57de40a2091447d completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:32 p.m.