Triple

T17561088
Position Surface form Disambiguated ID Type / Status
Subject GeoServer E427695 entity
Predicate supportsReprojection P100900 FINISHED
Object yes 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: yes | Statement: [GeoServer, supportsReprojection, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsReprojection
Context triple: [GeoServer, supportsReprojection, yes]
  • A. hasProjectionSystem
    Indicates that one entity uses or is defined by a particular coordinate or map projection system associated with another entity.
  • B. projectionRequirement
    Indicates a requirement that one entity be projected, mapped, or represented onto another according to specified criteria or constraints.
  • C. supports3DTransforms
    Indicates that one entity provides or is compatible with three-dimensional transform capabilities for another entity or within a given context.
  • D. isSupportedFor chosen
    Indicates that one entity provides compatibility, assistance, or backing necessary for another entity’s proper use or operation.
  • E. supportsRasterization
    Indicates that one entity provides the capability or functionality for another entity to perform rasterization operations.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e456267e208190a1238fbe1a535bb0 completed April 19, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.