Triple

T648475
Position Surface form Disambiguated ID Type / Status
Subject Kenya E11292 entity
Predicate mountain P10602 FINISHED
Object Mount Kenya E81182 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 Kenya | Statement: [Kenya, mountain, Mount Kenya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kenya
Context triple: [Kenya, mountain, Mount Kenya]
  • A. Mount Kenya chosen
    Mount Kenya is an extinct stratovolcano in central Kenya and Africa’s second-highest mountain, renowned for its rugged peaks, glaciers, and alpine ecosystems.
  • 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. Rwenzori Mountains
    The Rwenzori Mountains are a snow-capped mountain range in East Africa, famed for their glaciers, unique alpine flora, and status as one of the continent’s highest and most dramatic massifs.
  • D. Mawenzi
    Mawenzi is the jagged, eroded eastern peak of Mount Kilimanjaro and one of its three main volcanic cones.
  • E. Mount Nyangani
    Mount Nyangani is a prominent mountain in eastern Zimbabwe known for its scenic highland landscapes and status as a popular hiking destination.
  • 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: mountain
Context triple: [Kenya, mountain, Mount Kenya]
  • A. mountainRange
    Indicates that one entity is a mountain range that the other entity is part of, associated with, or located in.
  • B. hasMountain chosen
    Indicates that a location or region possesses or contains at least one mountain.
  • C. mountainSystem
    Indicates a relationship where multiple mountains are grouped together as part of the same connected or coherent mountain system or range.
  • D. sourceMountainRange
    Indicates that a river, stream, or similar feature originates from or has its source in a specified mountain range.
  • E. mountainRangeType
    Indicates the classification or category of a mountain range based on its geological or geographical type.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f308f34819094ba28cfc786051e completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a716de88190854e13fb5143b9b3 completed March 2, 2026, 1:02 p.m.
PD Predicate disambiguation batch_69a49d0c0dcc8190849211d45489a5a7 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:36 p.m.