Triple

T3085517
Position Surface form Disambiguated ID Type / Status
Subject Eastern Zimbabwe E64361 entity
Predicate highestPoint P210 FINISHED
Object Mount Nyangani E11626 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 Nyangani | Statement: [Eastern Zimbabwe, highestPoint, Mount Nyangani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Nyangani
Context triple: [Eastern Zimbabwe, highestPoint, Mount Nyangani]
  • A. Mount Nyangani chosen
    Mount Nyangani is a prominent mountain in eastern Zimbabwe known for its scenic highland landscapes and status as a popular hiking destination.
  • B. Mount Mulanje
    Mount Mulanje is a massive granite inselberg and popular trekking destination in southern Malawi, renowned for its dramatic peaks, deep forested valleys, and rich biodiversity.
  • C. Mount Tambuyukon
    Mount Tambuyukon is a high, biodiverse mountain in Sabah, Malaysian Borneo, known for its rich montane ecosystems and rare endemic species.
  • D. 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.
  • E. Mount Elgon
    Mount Elgon is an extinct shield volcano on the border of Uganda and Kenya, known for its vast eroded caldera, high biodiversity, and extensive cave systems.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1eac5548190bee60ea8262c65a8 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f4dc9d481908b64d2d2bca0381a completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:03 p.m.