Triple

T299560
Position Surface form Disambiguated ID Type / Status
Subject Microbiota E6167 entity
Predicate hardinessUse P1349 FINISHED
Object cold-climate gardens 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: cold-climate gardens | Statement: [Microbiota, hardinessUse, cold-climate gardens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hardinessUse
Context triple: [Microbiota, hardinessUse, cold-climate gardens]
  • A. hardiness chosen
    Indicates the degree to which an entity can withstand or endure harsh, adverse, or challenging conditions.
  • B. droughtTolerance
    Indicates the degree to which an entity can maintain normal function and survival under conditions of limited water availability.
  • C. diseaseResistance
    Indicates how effectively one entity can prevent, withstand, or recover from harmful effects caused by a particular disease or pathogen in relation to another.
  • D. growsIn
    Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
  • E. plantHeight
    Indicates the measured vertical size or growth extent of a plant from its base to its top.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
PD Predicate disambiguation batch_69a2e9398df08190af40063a2de7a1d0 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.