Triple

T8564277
Position Surface form Disambiguated ID Type / Status
Subject Oryza E202765 entity
Predicate order P568 FINISHED
Object Poales E202766 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: Poales | Statement: [Oryza, order, Poales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poales
Context triple: [Oryza, order, Poales]
  • A. Poales chosen
    Poales is a large order of flowering monocot plants that includes grasses, sedges, and many major cereal crops fundamental to global ecosystems and agriculture.
  • B. Poaceae
    Poaceae is a large and economically important family of flowering grasses that includes major cereal crops such as rice, wheat, and maize.
  • C. Solanales
    Solanales is an order of flowering plants that includes economically important families such as Solanaceae (nightshades) and Convolvulaceae (morning glories).
  • D. Asterales
    Asterales is a large order of flowering plants that includes daisies, sunflowers, and many other familiar ornamental and wild species.
  • E. Commelinales
    Commelinales is an order of monocot flowering plants that includes families such as Commelinaceae and Pontederiaceae, many of which are herbaceous and found in tropical and subtropical regions.
  • 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_69cf6ea4fadc8190ade74e4fdf890056 completed April 3, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:20 p.m.