Triple

T2947936
Position Surface form Disambiguated ID Type / Status
Subject Aldridge Gardens E79546 entity
Predicate hasEcosystemFeature P1888 FINISHED
Object ornamental lake 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: ornamental lake | Statement: [Aldridge Gardens, hasEcosystemFeature, ornamental lake]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEcosystemFeature
Context triple: [Aldridge Gardens, hasEcosystemFeature, ornamental lake]
  • A. containsEcosystem chosen
    Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
  • B. supportsEcosystemType
    Indicates that one entity provides suitable conditions or resources necessary to sustain or maintain a particular type of ecosystem.
  • C. hasEcosystemService
    Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
  • D. hasAccessoryEcosystem
    Indicates that an entity is associated with a surrounding set of compatible accessories, add-ons, or peripheral products designed to work with it.
  • E. supportsSoftwareEcosystem
    Indicates that one entity provides resources, compatibility, or infrastructure that enables another entity’s software ecosystem to function, grow, or be maintained.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
PD Predicate disambiguation batch_69ad960a70ac8190816b5ae3e8631031 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:57 p.m.