Triple

T4522210
Position Surface form Disambiguated ID Type / Status
Subject Prunus africana E103293 entity
Predicate scientificName P1329 FINISHED
Object Prunus africana E103293 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: Prunus africana | Statement: [Prunus africana, scientificName, Prunus africana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prunus africana
Context triple: [Prunus africana, scientificName, Prunus africana]
  • A. Prunus africana chosen
    Prunus africana is an African tree species valued for its medicinal bark, particularly used in treatments for prostate disorders.
  • B. Hagenia abyssinica
    Hagenia abyssinica is a large, medicinally important tree native to East African highland regions, commonly found in Afromontane forests.
  • C. Isoberlinia
    Isoberlinia is a genus of African trees in the legume family, best known for forming extensive dry woodlands and savanna ecosystems.
  • D. Pterocarpus
    Pterocarpus is a genus of tropical leguminous trees known for their valuable hardwoods, including species that produce padauk and African rosewood.
  • E. Albizia amara
    Albizia amara is a drought-tolerant deciduous tree native to South Asia, valued for its hardy timber, soil-improving properties, and use in traditional medicine.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574bd6908190b939d92b5809b101 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd4a09881909cf0e9d665454e38 completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:02 p.m.