Triple
T1773934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MFS |
E38935
|
entity |
| Predicate | userInterfaceFeature |
P1594
|
FINISHED |
| Object | simulated folders in Finder |
—
|
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: simulated folders in Finder | Statement: [MFS, userInterfaceFeature, simulated folders in Finder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userInterfaceFeature Context triple: [MFS, userInterfaceFeature, simulated folders in Finder]
-
A.
userInterface
chosen
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.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
-
C.
technologicalFeature
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
-
D.
featuresAction
Indicates that one entity includes, presents, or showcases a particular action as a notable characteristic or component.
-
E.
userInteractionModel
Indicates how a user is expected to interact with a system, defining the style, rules, or pattern of those interactions.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.