Triple

T10848819
Position Surface form Disambiguated ID Type / Status
Subject blue grama E256086 entity
Predicate family P566 FINISHED
Object Poaceae E202392 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: Poaceae | Statement: [blue grama, family, Poaceae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poaceae
Context triple: [blue grama, family, Poaceae]
  • A. Poaceae chosen
    Poaceae is a large and economically important family of flowering grasses that includes major cereal crops such as rice, wheat, and maize.
  • B. Poales
    Poales is a large order of flowering monocot plants that includes grasses, sedges, and many major cereal crops fundamental to global ecosystems and agriculture.
  • C. Pooideae
    Pooideae is a large subfamily of temperate grasses that includes many important cereal and forage crops such as wheat, barley, oats, and rye.
  • D. Oryzeae
    Oryzeae is a tribe of grasses that includes rice and its close relatives, important both ecologically and as staple food crops worldwide.
  • E. Oryzoideae
    Oryzoideae is a subfamily of grasses that includes important rice and related wetland species within the Poaceae family.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.