Triple

T3643857
Position Surface form Disambiguated ID Type / Status
Subject Kilimanjaro National Park E77250 entity
Predicate contains P35 FINISHED
Object Mawenzi peak E78468 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: Mawenzi peak | Statement: [Kilimanjaro National Park, contains, Mawenzi peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mawenzi peak
Context triple: [Kilimanjaro National Park, contains, Mawenzi peak]
  • A. Mawenzi chosen
    Mawenzi is the jagged, eroded eastern peak of Mount Kilimanjaro and one of its three main volcanic cones.
  • B. Uhuru Peak
    Uhuru Peak is the highest summit of Mount Kilimanjaro and the tallest point in Africa, renowned as a major goal for trekkers and climbers worldwide.
  • C. Mount Kenya
    Mount Kenya is an extinct stratovolcano in central Kenya and Africa’s second-highest mountain, renowned for its rugged peaks, glaciers, and alpine ecosystems.
  • D. Mount Nyangani
    Mount Nyangani is a prominent mountain in eastern Zimbabwe known for its scenic highland landscapes and status as a popular hiking destination.
  • E. Mount Karisimbi
    Mount Karisimbi is a prominent stratovolcano in the Virunga Mountains on the border of Rwanda and the Democratic Republic of the Congo, known as one of the highest peaks in East Africa.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35c28908190b253f4835918a2b4 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4dcd15c8190a763363adb7740c4 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:24 p.m.