Triple

T10171214
Position Surface form Disambiguated ID Type / Status
Subject Afro-Eurasia E235333 entity
Predicate containsHighestPoint P210 FINISHED
Object Mount Everest E11056 NE FINISHED

How this triple was built (3 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: [Afro-Eurasia, containsHighestPoint, Mount Everest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Everest
Context triple: [Afro-Eurasia, containsHighestPoint, 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsHighestPoint
Context triple: [Afro-Eurasia, containsHighestPoint, Mount Everest]
  • A. hasHighestPointType
    Indicates that the highest point of an entity is of a specified type or category.
  • B. highestPoint chosen
    Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
  • C. hasHighestPointAboveSeaLevel
    Indicates that the highest point of one entity is located at a greater elevation above sea level than that of another entity.
  • D. hasHighestPointNear
    Indicates that one entity’s highest point is located close to another specified entity or location.
  • E. hasHighestPeaksOver
    Indicates that one entity possesses mountain peaks that are higher in elevation than those of another entity.
  • F. None of above.

Provenance (4 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec9e4e0c819097dceb7bf7757948 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d369657ecc81909d0c710ca919602e completed April 6, 2026, 8:05 a.m.
PD Predicate disambiguation batch_69cd4ba9956c8190a3e15d091e33149d completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:10 p.m.