Triple

T36698621
Position Surface form Disambiguated ID Type / Status
Subject pueblo Secoya E906157 entity
Predicate usoDePlantas P51056 FINISHED
Object uso de plantas medicinales amazónicas 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: uso de plantas medicinales amazónicas | Statement: [pueblo Secoya, usoDePlantas, uso de plantas medicinales amazónicas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usoDePlantas
Context triple: [pueblo Secoya, usoDePlantas, uso de plantas medicinales amazónicas]
  • A. plantUse chosen
    Indicates that a plant is used for a particular purpose, function, or application.
  • B. hostsPlantOf
    Indicates that one entity serves as a host environment or substrate on which a particular plant lives, grows, or depends.
  • C. involvesPlant
    Indicates that the relationship or action includes or pertains to a plant as a participating entity.
  • D. usedInPlant
    Indicates that something is utilized or applied within a plant, such as in its processes, operations, or systems.
  • E. isPlantOf
    Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
  • 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_69f76e7195c48190b5580c9cfb01e95f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c7ebdea48190b0e7565e4e09ec9e completed May 3, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69f7c4796ebc819084a0dc08505e5f14 completed May 3, 2026, 9:56 p.m.
Created at: May 3, 2026, 4:12 p.m.