Triple

T8348410
Position Surface form Disambiguated ID Type / Status
Subject Lentibulariaceae E196095 entity
Predicate digestiveMechanism P31230 FINISHED
Object extracellular digestion using enzymes 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: extracellular digestion using enzymes | Statement: [Lentibulariaceae, digestiveMechanism, extracellular digestion using enzymes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: digestiveMechanism
Context triple: [Lentibulariaceae, digestiveMechanism, extracellular digestion using enzymes]
  • A. digestiveSystem
    Indicates the relationship in which an entity possesses or is associated with a system responsible for breaking down food and absorbing nutrients.
  • B. digestiveMethod chosen
    Indicates the way or process by which an entity digests or breaks down food or nutrients.
  • C. stomachType
    Indicates the kind or classification of stomach an entity has, typically describing its structural or functional type.
  • D. gutType
    Indicates the type or classification of a digestive tract or gut associated with an entity.
  • E. isMetabolizedBy
    Indicates that a substance is biochemically broken down or transformed through metabolic processes carried out by a specified organism, cell type, or enzyme system.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb801588e881908ac0a291280ac0f8 completed March 31, 2026, 8:04 a.m.
PD Predicate disambiguation batch_69cb70c6d0ec8190acf273b0e007b51a completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:58 p.m.