Triple

T33354734
Position Surface form Disambiguated ID Type / Status
Subject Albertina inventory of Dürer drawings E854037 entity
Predicate numbersIndividually P204040 FINISHED
Object Dürer drawings in the Albertina 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: Dürer drawings in the Albertina | Statement: [Albertina inventory of Dürer drawings, numbersIndividually, Dürer drawings in the Albertina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numbersIndividually
Context triple: [Albertina inventory of Dürer drawings, numbersIndividually, Dürer drawings in the Albertina]
  • A. numberDescribedAs
    Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
  • B. number
    Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
  • C. hasDistinctNumeralsFrom
    Indicates that two numeral representations are composed of different digit symbols, sharing no numerals in common.
  • D. numberForm
    Indicates that one entity is a representation or written form of a numerical value associated with another entity.
  • E. numeralsRangePerPosition
    Indicates the allowed range of numeral values that can appear in each positional place within a number representation.
  • 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_69f3496acbc8819099fd0305ecc42080 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a031045669c8190944781a48d09b5b6 completed May 12, 2026, 11:34 a.m.
PD Predicate disambiguation batch_6a030fa775848190839b388f950d0364 completed May 12, 2026, 11:31 a.m.
PDg Predicate description generation batch_6a031044b88481909092553ee4198fd5 completed May 12, 2026, 11:34 a.m.
Created at: May 1, 2026, 1:34 a.m.