Triple

T35419574
Position Surface form Disambiguated ID Type / Status
Subject Desana people E1023742 entity
Predicate useOfPlants P51056 FINISHED
Object medicinal plants LITERAL 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: medicinal plants | Statement: [Desana people, useOfPlants, medicinal plants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: useOfPlants
Context triple: [Desana people, useOfPlants, medicinal plants]
  • A. plantUse chosen
    Indicates that a plant is used for a particular purpose, function, or application.
  • B. usedInPlant
    Indicates that something is utilized or applied within a plant, such as in its processes, operations, or systems.
  • C. involvesPlant
    Indicates that the relationship or action includes or pertains to a plant as a participating entity.
  • D. hostsPlantOf
    Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
  • E. flowerUse
    Indicates how a flower is used or purposed in a particular context (e.g., decorative, medicinal, culinary, or symbolic use).
  • F. None of above.

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_69f76df6704081909900c60be10d5849 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
Created at: May 3, 2026, 4:03 p.m.