Triple

T22653169
Position Surface form Disambiguated ID Type / Status
Subject Manuale Tipografico E559146 entity
Predicate typographicCharacteristics P42388 FINISHED
Object high contrast between thick and thin strokes 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: high contrast between thick and thin strokes | Statement: [Manuale Tipografico, typographicCharacteristics, high contrast between thick and thin strokes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typographicCharacteristics
Context triple: [Manuale Tipografico, typographicCharacteristics, high contrast between thick and thin strokes]
  • A. typographicLegacy
    Indicates a relationship where one typographic style, convention, or feature is inherited from, derived from, or historically influenced by another.
  • B. typographicRole
    Indicates the specific typographic function or role that an element plays within written or printed content.
  • C. hasTypography chosen
    Indicates that one entity uses, is associated with, or is characterized by a particular typographic style, font, or text layout.
  • D. typographer
    Indicates that an entity is a person or agent whose role is to design, arrange, or set type for printed or digital text.
  • E. characterStyle
    Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17659e4dc81909cf6943c1c986ef9 completed April 29, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69ee6294c4c08190b7e4829f4b9af24b completed April 26, 2026, 7:08 p.m.
Created at: April 17, 2026, 3:06 p.m.