Triple

T3026892
Position Surface form Disambiguated ID Type / Status
Subject Atlas Maior E82795 entity
Predicate cartographicProjection P1986 FINISHED
Object various early modern map projections 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: various early modern map projections | Statement: [Atlas Maior, cartographicProjection, various early modern map projections]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cartographicProjection
Context triple: [Atlas Maior, cartographicProjection, various early modern map projections]
  • A. mapProjection chosen
    Indicates the specific method or transformation used to represent locations from the curved surface of the Earth onto a flat map.
  • B. cartographicContext
    Indicates the mapping or geographic framework within which something is spatially represented or interpreted.
  • C. cartographicAuthority
    Indicates that an entity has official responsibility for creating, maintaining, or validating cartographic or map-related information for another entity or area.
  • D. cartographicSignificance
    Indicates the importance or relevance of something within the context of mapping or geographic representation.
  • E. geographicalRepresentation
    Indicates that one entity serves as a geographic depiction, model, or mapping of another entity’s location, area, or spatial characteristics.
  • 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_69ad8b21a62881908ec5dd4fba4a187c completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abd85348190aba9e40658697665 completed March 8, 2026, 3:50 p.m.
PD Predicate disambiguation batch_69ad961c430c8190ac48f2e3c7e7c649 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.