Triple

T4266369
Position Surface form Disambiguated ID Type / Status
Subject Branklyn Garden E96833 entity
Predicate hasPlantOriginDiversity P55077 FINISHED
Object plants from Asia 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: plants from Asia | Statement: [Branklyn Garden, hasPlantOriginDiversity, plants from Asia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlantOriginDiversity
Context triple: [Branklyn Garden, hasPlantOriginDiversity, plants from Asia]
  • A. hasDiverseLandscape
    Indicates that an entity possesses a variety of distinct physical or environmental features within its geographic area.
  • B. hasMajorPlant
    Indicates that one entity possesses or hosts a primary or most significant plant facility or installation in relation to another entity.
  • C. hasApproximateNumberOfVarieties
    Indicates that an entity is associated with an estimated or non-exact count of different varieties or types.
  • D. widelyCultivatedIn
    Indicates that something is grown extensively or on a large scale within a particular place or region.
  • E. isPlantOf
    Indicates that one entity is a plant that belongs to, is associated with, or is characteristic of another entity (such as a region, habitat, or owner).
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34fcc383c81908e17da7cbc86a630 completed March 12, 2026, 11:44 p.m.
PD Predicate disambiguation batch_69b347f8dcb08190a725c1f7fb5a7466 completed March 12, 2026, 11:10 p.m.
PDg Predicate description generation batch_69b34e0606488190baadf469a1afc3c2 completed March 12, 2026, 11:36 p.m.
Created at: March 12, 2026, 11:07 p.m.