Triple

T7570094
Position Surface form Disambiguated ID Type / Status
Subject Swiss Mount Everest/Lhotse Expedition 1956 E179216 entity
Predicate summitedMountain P18072 FINISHED
Object Mount Everest E11056 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 Everest | Statement: [Swiss Mount Everest/Lhotse Expedition 1956, summitedMountain, Mount Everest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Everest
Context triple: [Swiss Mount Everest/Lhotse Expedition 1956, summitedMountain, Mount Everest]
  • A. Mount Everest chosen
    Mount Everest is the world's highest mountain above sea level, located in the Himalayas on the border between Nepal and the Tibet Autonomous Region of China.
  • B. Everest
    Everest is the codename for the high-performance CPU cores used in Apple’s A16 Bionic chip.
  • C. Everest
    Everest is a 2015 survival drama film that chronicles the harrowing true story of a deadly Mount Everest expedition.
  • D. Cho Oyu
    Cho Oyu is the world’s sixth-highest mountain, an 8,188-meter peak in the Mahalangur Himal section of the Himalayas near the Nepal–China border.
  • E. Everes
    Everes is a figure in Greek mythology known primarily as the father of the blind prophet Tiresias.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7017134608190bd51fb2d0ab1ff34 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8f30833588190a7217fdf160f2d49 completed March 29, 2026, 9:38 a.m.
Created at: March 27, 2026, 3:51 p.m.