Triple

T8548769
Position Surface form Disambiguated ID Type / Status
Subject Poaceae E202392 entity
Predicate includes P1393 FINISHED
Object Oryza glaberrima E40199 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: Oryza glaberrima | Statement: [Poaceae, includes, Oryza glaberrima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oryza glaberrima
Context triple: [Poaceae, includes, Oryza glaberrima]
  • A. Oryza glaberrima chosen
    Oryza glaberrima is the African species of rice domesticated in West Africa, known for its resilience to local stresses but generally lower yields compared to Asian rice (Oryza sativa).
  • B. Oryza
    Oryza is a genus of grasses that includes the cultivated rice species central to human nutrition and agriculture worldwide.
  • C. Oryza sativa
    Oryza sativa is the domesticated Asian rice species that serves as a staple food crop for over half of the world’s population.
  • D. Millet
    Millet is a common French surname borne by several notable figures, including artists and sculptors.
  • E. Cowpe
    Cowpe is a small village in Lancashire, England, situated in the Rossendale Valley and known for its rural setting and former textile industry.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe753d3608190b0573477182cf194 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dc1bb5481909ddd3af564c24c0c completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:19 p.m.