Triple

T3026836
Position Surface form Disambiguated ID Type / Status
Subject Theatrum Orbis Terrarum E82794 entity
Predicate firstEditionApproximateNumberOfMaps P44718 FINISHED
Object about 53 maps 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: about 53 maps | Statement: [Theatrum Orbis Terrarum, firstEditionApproximateNumberOfMaps, about 53 maps]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstEditionApproximateNumberOfMaps
Context triple: [Theatrum Orbis Terrarum, firstEditionApproximateNumberOfMaps, about 53 maps]
  • A. firstEditionResult
    Indicates that one entity is the outcome, record, or result associated specifically with the first edition of another entity.
  • B. firstEditionType
    Indicates that an entity is classified as a first edition of a work, specifying the type or category of that first edition.
  • C. firstEditionPrintRun
    Indicates the initial quantity of copies produced when a work is printed in its first published edition.
  • D. firstEditionVolumes
    Indicates that the subject is a work or publication and the object is the number of volumes in its first edition.
  • E. firstEditionAsUnder19
    Indicates that the entity represents the first edition of a competition or event specifically for participants under 19 years old.
  • 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.