Triple

T8564273
Position Surface form Disambiguated ID Type / Status
Subject Oryza E202765 entity
Predicate tribe P1915 FINISHED
Object Oryzeae E743215 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: Oryzeae | Statement: [Oryza, tribe, Oryzeae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oryzeae
Context triple: [Oryza, tribe, Oryzeae]
  • A. Oryzeae chosen
    Oryzeae is a tribe of grasses that includes rice and its close relatives, important both ecologically and as staple food crops worldwide.
  • B. Oryzoideae
    Oryzoideae is a subfamily of grasses that includes important rice and related wetland species within the Poaceae family.
  • C. Poaceae
    Poaceae is a large and economically important family of flowering grasses that includes major cereal crops such as rice, wheat, and maize.
  • D. Oryza
    Oryza is a genus of grasses that includes the cultivated rice species central to human nutrition and agriculture worldwide.
  • E. Bambusoideae
    Bambusoideae is a subfamily of grasses best known for comprising the diverse group of woody and herbaceous bamboos found across tropical to temperate regions worldwide.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d11274819099cc33a21a993a1f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea87badf081909727808f0e14ae45 completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:20 p.m.