Triple
T14453305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duo |
E358390
|
entity |
| Predicate | userInterfaceDesignGoal |
P72812
|
FINISHED |
| Object | simplicity |
—
|
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: simplicity | Statement: [Duo, userInterfaceDesignGoal, simplicity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userInterfaceDesignGoal Context triple: [Duo, userInterfaceDesignGoal, simplicity]
-
A.
userInterface
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
B.
userInterfaceSimilarTo
Indicates that one user interface resembles or closely matches another in appearance, layout, or interaction style.
-
C.
appliesToDesignGoal
chosen
Indicates that something (such as a method, rule, or constraint) is relevant or intended to be used for achieving a particular design goal.
-
D.
urbanDesignGoal
Indicates a goal or intended outcome related to the planning, shaping, or improvement of urban spaces and environments.
-
E.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.