Triple
T15989768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figma |
E387792
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Figma Design |
E387792
|
NE 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: Figma Design | Statement: [Figma, hasComponent, Figma Design]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Figma Design Context triple: [Figma, hasComponent, Figma Design]
-
A.
Figma
chosen
Figma is a cloud-based collaborative design platform widely used for user interface and user experience (UI/UX) design and prototyping.
-
B.
Adobe XD
Adobe XD is a vector-based user experience design and prototyping tool used to create and test interfaces for websites and mobile applications.
-
C.
Designit
Designit is a global strategic design and innovation consultancy known for helping organizations create user-centered products, services, and experiences.
-
D.
Material Design
Material Design is Google's unified design language that provides guidelines for creating visually consistent, intuitive, and responsive user interfaces across platforms and devices.
-
E.
Fluent Design System
Fluent Design System is Microsoft's modern design language that emphasizes light, depth, motion, material, and scale to create cohesive, responsive user interfaces across Windows and related platforms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.