Triple

T127599
Position Surface form Disambiguated ID Type / Status
Subject Caucasus E2583 entity
Predicate hasHighestPoint P210 FINISHED
Object Mount Elbrus E4824 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 Elbrus | Statement: [Caucasus, hasHighestPoint, Mount Elbrus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Elbrus
Context triple: [Caucasus, hasHighestPoint, Mount Elbrus]
  • A. Mount Elbrus chosen
    Mount Elbrus is a dormant stratovolcano in the Caucasus Mountains of Russia and the highest peak on the European continent.
  • B. Mount Kilimanjaro
    Mount Kilimanjaro is a massive dormant stratovolcano in northeastern Tanzania and the tallest mountain in Africa, famed for its snow-capped summit rising above the surrounding savanna.
  • C. Nevis
    Nevis is a small volcanic island in the Caribbean known for its lush landscapes, historic plantations, and tranquil beaches.
  • D. Mount Everest
    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.
  • E. Chimborazo
    Chimborazo is a dormant stratovolcano in the Andes of central Ecuador whose summit is famously the farthest point on Earth's surface from its center due to the planet’s equatorial bulge.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25763ccf8819094e8dffb2ff98480 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2ce3540588190a7e80e5c887dd292 completed Feb. 28, 2026, 11:15 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.