Triple
T16011916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceph |
E388355
|
entity |
| Predicate | visualDesignFeatures |
P29429
|
FINISHED |
| Object | biomechanical appearance |
—
|
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: biomechanical appearance | Statement: [Ceph, visualDesignFeatures, biomechanical appearance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualDesignFeatures Context triple: [Ceph, visualDesignFeatures, biomechanical appearance]
-
A.
visualElements
chosen
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
-
B.
designedFeature
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
C.
featureDesigner
Indicates that a person serves as the designer responsible for creating or specifying a particular feature.
-
D.
visualSimplicity
Indicates that something is characterized by a minimal, uncluttered, and easy-to-perceive visual appearance or design.
-
E.
previousDesignFeature
Indicates that one design feature precedes another in a sequence or earlier version of a design.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:55 a.m.