Triple

T12963549
Position Surface form Disambiguated ID Type / Status
Subject Af (Köppen) E321206 entity
Predicate agriculturalImplication P107722 FINISHED
Object supports year-round growing seasons 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: supports year-round growing seasons | Statement: [Af (Köppen), agriculturalImplication, supports year-round growing seasons]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: agriculturalImplication
Context triple: [Af (Köppen), agriculturalImplication, supports year-round growing seasons]
  • A. agriculturalImpact
    Indicates the effect that an action, condition, or entity has on agricultural systems, productivity, or practices.
  • B. agricultureUse
    Indicates that something is used for, involved in, or designated for agricultural activities or purposes.
  • C. agriculturalFocus
    Indicates that an entity is primarily concerned with, oriented toward, or specializing in agriculture or farming-related activities.
  • D. usedAgriculture
    Indicates that an entity employed agricultural methods, practices, or resources for cultivation, production, or related purposes.
  • E. agriculturalEnvironment
    Indicates that something exists in, is associated with, or is influenced by an agricultural or farming-related environment.
  • F. None of above. chosen

Provenance (4 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97dba57988190b786ffed55687a72 completed April 10, 2026, 10:46 p.m.
PDg Predicate description generation batch_69d97e5811f481908178fac6d2e0efcd completed April 10, 2026, 10:48 p.m.
Created at: April 9, 2026, 8:25 p.m.