Triple

T16234958
Position Surface form Disambiguated ID Type / Status
Subject Sunder Nursery E394080 entity
Predicate hasFloraDiversity P22447 FINISHED
Object hundreds of tree species 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: hundreds of tree species | Statement: [Sunder Nursery, hasFloraDiversity, hundreds of tree species]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFloraDiversity
Context triple: [Sunder Nursery, hasFloraDiversity, hundreds of tree species]
  • A. hasBiodiversityFeature chosen
    Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
  • B. hasFloraGroup
    Indicates that an entity is associated with, contains, or is characterized by a particular group or category of plant life.
  • C. hasDiverseLandscape
    Indicates that an entity possesses a variety of distinct physical or environmental features within its geographic area.
  • D. hasBiodiversitySignificance
    Indicates that something possesses ecological importance due to the variety, rarity, or conservation value of the species and habitats it supports.
  • E. hasFloralRegion
    Indicates that one entity possesses or is associated with a specific floral region as a characteristic or component.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24559af48819092e4b466778b07e2 completed April 17, 2026, 2:36 p.m.
PD Predicate disambiguation batch_69e219ee6f6481909663b388dc99770a completed April 17, 2026, 11:30 a.m.
Created at: April 10, 2026, 5:04 a.m.