Triple

T15739933
Position Surface form Disambiguated ID Type / Status
Subject Nandina E381573 entity
Predicate pruningRequirement P37638 FINISHED
Object light to moderate pruning 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: light to moderate pruning | Statement: [Nandina, pruningRequirement, light to moderate pruning]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pruningRequirement
Context triple: [Nandina, pruningRequirement, light to moderate pruning]
  • A. proceduralRequirement
    Indicates that one entity specifies or imposes a required procedure or process that must be followed by another entity.
  • B. maintenanceRequirement chosen
    Indicates that an entity is obligated to perform, schedule, or adhere to specific maintenance activities or conditions for another entity or system.
  • C. establishedRequirement
    Indicates that one entity has formally set or defined a requirement that another entity is expected to satisfy or comply with.
  • D. previouslyRequired
    Indicates that one entity was required or necessary before another entity, typically as a prerequisite condition or step.
  • E. requiredTo
    Indicates that one entity has an obligation or necessity to perform an action or satisfy a condition in relation to another entity or context.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
PD Predicate disambiguation batch_69e0052c6208819098165d61d378d13b completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:46 a.m.