Triple

T71463
Position Surface form Disambiguated ID Type / Status
Subject Douglas fir E1430 entity
Predicate kingdom P567 FINISHED
Object Plantae E1451 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: Plantae | Statement: [Douglas fir, kingdom, Plantae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plantae
Context triple: [Douglas fir, kingdom, Plantae]
  • A. Plantae chosen
    Plantae is the biological kingdom comprising all multicellular, primarily photosynthetic organisms commonly known as plants, including trees, flowers, grasses, and ferns.
  • B. Protista
    Protista is a diverse kingdom of mostly single-celled eukaryotic organisms that are neither animals, plants, nor fungi.
  • C. Pinophyta
    Pinophyta is the plant division comprising the conifers, a major group of woody, cone-bearing gymnosperms that includes pines, firs, spruces, and redwoods.
  • D. Rosales
    Rosales is an order of flowering plants that includes many familiar trees, shrubs, and herbs such as elms, roses, and nettles.
  • E. Phytologia
    Phytologia is a scientific work by Erasmus Darwin that explores plant physiology, classification, and the relationship between plants and their environment.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f0578808190be793d7a161c2cf5 completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26241d4c08190885dab6aef75dcf3 completed Feb. 28, 2026, 3:34 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.