Triple

T1296092
Position Surface form Disambiguated ID Type / Status
Subject Nastaʿlīq E27655 entity
Predicate digitalImplementation P22535 FINISHED
Object OpenType font technology
OpenType font technology is a scalable, cross-platform font format developed by Microsoft and Adobe that supports advanced typographic features such as ligatures, contextual substitutions, and complex script shaping.
E147796 NE FINISHED

How this triple was built (5 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: OpenType font technology | Statement: [Nastaʿlīq, digitalImplementation, OpenType font technology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenType font technology
Context triple: [Nastaʿlīq, digitalImplementation, OpenType font technology]
  • A. Universal typeface
    Universal typeface is a minimalist, geometric sans-serif typeface designed by Bauhaus artist Herbert Bayer as an experimental attempt to create a simplified, universal writing system.
  • B. METAFONT
    METAFONT is a font description and rasterization system created by Donald Knuth for designing and generating bitmap fonts, particularly for use with the TeX typesetting system.
  • C. Didone typefaces
    Didone typefaces are a class of serif typefaces characterized by strong contrast between thick and thin strokes, vertical stress, and fine hairlines, widely used in 18th–19th century printing and modern display typography.
  • D. Johnston typeface
    Johnston typeface is a humanist sans-serif typeface designed in the early 20th century by Edward Johnston, best known as the iconic lettering used across the London Underground network.
  • E. PostScript
    PostScript is a page description and programming language widely used in desktop publishing and printing to precisely define the layout and appearance of text and graphics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OpenType font technology
Triple: [Nastaʿlīq, digitalImplementation, OpenType font technology]
Generated description
OpenType font technology is a scalable, cross-platform font format developed by Microsoft and Adobe that supports advanced typographic features such as ligatures, contextual substitutions, and complex script shaping.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OpenType font technology
Target entity description: OpenType font technology is a scalable, cross-platform font format developed by Microsoft and Adobe that supports advanced typographic features such as ligatures, contextual substitutions, and complex script shaping.
  • A. Universal typeface
    Universal typeface is a minimalist, geometric sans-serif typeface designed by Bauhaus artist Herbert Bayer as an experimental attempt to create a simplified, universal writing system.
  • B. METAFONT
    METAFONT is a font description and rasterization system created by Donald Knuth for designing and generating bitmap fonts, particularly for use with the TeX typesetting system.
  • C. Didone typefaces
    Didone typefaces are a class of serif typefaces characterized by strong contrast between thick and thin strokes, vertical stress, and fine hairlines, widely used in 18th–19th century printing and modern display typography.
  • D. Johnston typeface
    Johnston typeface is a humanist sans-serif typeface designed in the early 20th century by Edward Johnston, best known as the iconic lettering used across the London Underground network.
  • E. PostScript
    PostScript is a page description and programming language widely used in desktop publishing and printing to precisely define the layout and appearance of text and graphics.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: digitalImplementation
Context triple: [Nastaʿlīq, digitalImplementation, OpenType font technology]
  • A. digitalProduct
    Indicates that one entity is a product that exists in digital form or is delivered electronically rather than physically.
  • B. hasDigitalInitiative
    Indicates that an entity is engaged in or associated with a specific digital project, program, or transformation effort.
  • C. implementedOn chosen
    Indicates that something (such as a feature, standard, or specification) is realized, executed, or put into effect within or on a particular platform, system, or environment.
  • D. implementationStatus
    Indicates the current state or progress of carrying out or realizing something, such as a plan, design, or requirement.
  • E. hasDigitalAccess
    Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
  • F. None of above.

Provenance (6 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc4078081908ba799745ce442ae completed March 7, 2026, 10:55 p.m.
NEDg Description generation batch_69acad5457dc8190b884b562bc3f3fe7 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadf1209081909c120fbfdeb53168 completed March 7, 2026, 11 p.m.
PD Predicate disambiguation batch_69a4bee64d908190b6a9bb479959d523 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.