Triple

T8613536
Position Surface form Disambiguated ID Type / Status
Subject Vinson Massif E203975 entity
Predicate partOf P40 FINISHED
Object Seven Summits E30275 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: Seven Summits | Statement: [Vinson Massif, partOf, Seven Summits]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seven Summits
Context triple: [Vinson Massif, partOf, Seven Summits]
  • A. Seven Summits chosen
    The Seven Summits are the highest mountains on each of the seven continents, collectively regarded as a premier mountaineering challenge.
  • B. Everest the Hard Way
    Everest the Hard Way is a mountaineering book by British climber Chris Bonington that chronicles the 1975 British expedition’s pioneering ascent of Everest’s formidable Southwest Face.
  • C. Mountaineers
    Mountaineers is the nickname and mascot for the athletic teams representing Mount St. Mary's University near Emmitsburg, Maryland.
  • D. Mountaineers
    The Mountaineers are the athletic teams representing Berea College in intercollegiate sports.
  • E. Mountaineers
    The Mountaineers is the nickname of the U.S. Army’s 10th Mountain Division, an elite light infantry unit specialized in mountain and cold-weather warfare.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4700b9e08190b03f05f4757cfc47 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91c30ec81908dafc1caf057e41c completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.