Triple

T2816617
Position Surface form Disambiguated ID Type / Status
Subject Great Trigonometrical Survey of India E54302 entity
Predicate identifiedAsHighestPeak 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: [Great Trigonometrical Survey of India, identifiedAsHighestPeak, Mount Everest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Everest
Context triple: [Great Trigonometrical Survey of India, identifiedAsHighestPeak, 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. 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.
  • D. Makalu
    Makalu is the fifth-highest mountain in the world, a prominent 8,485-meter peak on the border between Nepal and China known for its steep faces and challenging climbing routes.
  • E. Kangchenjunga
    Kangchenjunga is the world’s third-highest mountain, a massive peak in the eastern Himalayas on the border between Nepal and India.
  • 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: identifiedAsHighestPeak
Context triple: [Great Trigonometrical Survey of India, identifiedAsHighestPeak, Mount Everest]
  • A. highestPoint chosen
    Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
  • B. territorialPeak
    Indicates the highest geographical point located within the territory or jurisdiction of a given entity.
  • C. isSecondHighestPeakIn
    Indicates that one entity is the mountain or peak with the second greatest elevation within the geographic or contextual set defined by the other entity.
  • D. areaPeak
    Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
  • E. hasHighestPointType
    Indicates that the highest point of an entity is of a specified type or category.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d64629481909da4c7b4f6c96c44 completed March 10, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69abdd08f2f481908c3da8a9c7a00552 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:59 p.m.