Triple

T17560964
Position Surface form Disambiguated ID Type / Status
Subject GeoJSON E427694 entity
Predicate defaultCRS P94113 FINISHED
Object EPSG:4326 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: EPSG:4326 | Statement: [GeoJSON, defaultCRS, EPSG:4326]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: defaultCRS
Context triple: [GeoJSON, defaultCRS, EPSG:4326]
  • A. commonCRSCode
    Indicates that two or more entities share the same Common Reporting Standard (CRS) code used for tax or financial reporting classification.
  • B. coordinateReferenceSystemType chosen
    Indicates the specific kind or category of coordinate reference system (e.g., geographic, projected, vertical) associated with a spatial dataset or geometry.
  • C. mapProjection
    Indicates the specific method or transformation used to represent locations from the curved surface of the Earth onto a flat map.
  • D. hasProjectionSystem
    Indicates that one entity uses or is defined by a particular coordinate or map projection system associated with another entity.
  • E. referenceSurface
    Indicates that one entity serves as the surface or base relative to which another entity is positioned, aligned, or defined.
  • 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.