Triple

T3026822
Position Surface form Disambiguated ID Type / Status
Subject Theatrum Orbis Terrarum E82794 entity
Predicate cartographicInnovation P44717 FINISHED
Object use of uniform map size and style 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: use of uniform map size and style | Statement: [Theatrum Orbis Terrarum, cartographicInnovation, use of uniform map size and style]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cartographicInnovation
Context triple: [Theatrum Orbis Terrarum, cartographicInnovation, use of uniform map size and style]
  • A. cartographicSignificance
    Indicates the importance or relevance of something within the context of mapping or geographic representation.
  • 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. mapDesigner
    Indicates that an entity is the designer or creator responsible for producing a particular map.
  • 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. chosen

Provenance (4 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.
PDg Predicate description generation batch_69ad97f6af3881909f4547967384114c completed March 8, 2026, 3:38 p.m.
Created at: March 8, 2026, 3 p.m.