Triple

T8711609
Position Surface form Disambiguated ID Type / Status
Subject 1953 British Mount Everest expedition E206789 entity
Predicate mountainClimbed P6287 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: [1953 British Mount Everest expedition, mountainClimbed, Mount Everest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Everest
Context triple: [1953 British Mount Everest expedition, mountainClimbed, 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3189f88190bb9bb77ba9d28d60 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100a1ad688190b1a2fc91ce3dbdc3 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 6:35 p.m.