Triple
T24649094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Supplemental Mathematical Operators |
E610196
|
entity |
| Predicate | typicalFontSupport |
P156909
|
FINISHED |
| Object | STIX fonts |
—
|
NE NERFINISHED |
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: STIX fonts | Statement: [Supplemental Mathematical Operators, typicalFontSupport, STIX fonts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalFontSupport Context triple: [Supplemental Mathematical Operators, typicalFontSupport, STIX fonts]
-
A.
hasTypography
Indicates that one entity uses, is associated with, or is characterized by a particular typographic style, font, or text layout.
-
B.
supportsParentFont
Indicates that an entity provides or maintains compatibility with the font used by its parent entity.
-
C.
hasCalligraphy
Indicates that an entity possesses or is associated with calligraphy, such as having calligraphic writing, decoration, or stylistic features.
-
D.
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.
-
E.
typographicLegacy
Indicates a relationship where one typographic style, convention, or feature is inherited from, derived from, or historically influenced by another.
- 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_69e2c4d350a481909170482bc2ce6af9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f41010f06c81908ee7f773220df14f |
completed | May 1, 2026, 2:29 a.m. |
Created at: April 18, 2026, 2:33 a.m.