Triple

T36698576
Position Surface form Disambiguated ID Type / Status
Subject pueblo Siona E906156 entity
Predicate poseeConocimiento P22660 FINISHED
Object conocimientos tradicionales de la selva 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: conocimientos tradicionales de la selva | Statement: [pueblo Siona, poseeConocimiento, conocimientos tradicionales de la selva]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: poseeConocimiento
Context triple: [pueblo Siona, poseeConocimiento, conocimientos tradicionales de la selva]
  • A. usesKnowledgeOf
    Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
  • B. knows chosen
    Indicates that one entity has knowledge or awareness of another entity or piece of information.
  • C. knownToBe
    Indicates that one entity is recognized or acknowledged as being a certain way, having a certain property, or fitting a particular description by others.
  • D. usesKnowledgeBase
    Indicates that an entity consults or relies on a structured knowledge base as a source of information to perform its actions or make decisions.
  • E. knowledgeType
    Indicates the specific category or nature of knowledge associated with an entity or statement (e.g., factual, procedural, conceptual).
  • 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.