Triple

T24649095
Position Surface form Disambiguated ID Type / Status
Subject Supplemental Mathematical Operators E610196 entity
Predicate typicalFontSupport P156909 FINISHED
Object Cambria Math
Cambria Math is a Microsoft-designed OpenType math font optimized for on-screen readability and high-quality typesetting of mathematical notation in applications like Microsoft Office.
 E1645669 NE FINISHED

How this triple was built (3 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: Cambria Math | Statement: [Supplemental Mathematical Operators, typicalFontSupport, Cambria Math]
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: Cambria Math
Triple: [Supplemental Mathematical Operators, typicalFontSupport, Cambria Math]
Generated description
Cambria Math is a Microsoft-designed OpenType math font optimized for on-screen readability and high-quality typesetting of mathematical notation in applications like Microsoft Office.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: typicalFontSupport
Context triple: [Supplemental Mathematical Operators, typicalFontSupport, Cambria Math]
  • A. typicalFontSupport chosen
    Indicates that one entity (such as a system, application, or platform) normally includes or provides support for a particular font or set of fonts under standard conditions.
  • B. hasTypography
    Indicates that one entity uses, is associated with, or is characterized by a particular typographic style, font, or text layout.
  • C. supportsParentFont
    Indicates that an entity provides or maintains compatibility with the font used by its parent entity.
  • D. hasCalligraphy
    Indicates that an entity possesses or is associated with calligraphy, such as having calligraphic writing, decoration, or stylistic features.
  • E. hasLigatures
    Indicates that one writing system, font, or text includes combined character forms (ligatures) that join two or more individual glyphs into a single symbol.
  • 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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f422aee0408190899efe7e24ef2b40 completed May 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100497a0ec8190bcf2291c7d3b1d85 completed May 22, 2026, 7:24 a.m.
NEDg Description generation batch_6a10095d986881909082cc5a32b6d56e completed May 22, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a1009d311b08190acf35a3ed552b9c1 completed May 22, 2026, 7:46 a.m.
PD Predicate disambiguation batch_69f420e92cc88190a803aecdae78a051 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 2:33 a.m.