Triple
T33041940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transport typeface |
E845489
|
entity |
| Predicate | visualClassification |
P100400
|
FINISHED |
| Object | humanist sans-serif |
—
|
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: humanist sans-serif | Statement: [Transport typeface, visualClassification, humanist sans-serif]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualClassification Context triple: [Transport typeface, visualClassification, humanist sans-serif]
-
A.
aimOfClassification
Indicates that one entity represents the purpose, goal, or intended outcome of a particular act or system of classification applied to another entity.
-
B.
visualFeature
Indicates a relationship where one entity possesses or exhibits a particular visual characteristic or attribute of another entity.
-
C.
classificationConsensus
Indicates that multiple agents or sources agree on the same classification or category assignment for a given entity or item.
-
D.
classificationAccordingTo
chosen
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
E.
usedToClassify
Indicates that one entity serves as a criterion or basis for categorizing or grouping another entity.
- 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_69f34951348c8190b56746b0a7018182 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:24 a.m.