Triple
T300133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua |
E6178
|
entity |
| Predicate | successorInterface |
P11238
|
FINISHED |
| Object | macOS flat design style |
—
|
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: macOS flat design style | Statement: [Aqua, successorInterface, macOS flat design style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInterface Context triple: [Aqua, successorInterface, macOS flat design style]
-
A.
successorClass
Indicates that one class directly follows or replaces another class in a sequence or hierarchy.
-
B.
successorProtocol
Indicates that one protocol directly follows and replaces another in sequence or versioning.
-
C.
successorOperator
Indicates that one operator directly follows another in a defined sequence or ordering.
-
D.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
E.
successorState
Indicates that one state directly follows another as the immediate next state in a sequence or process.
- F. None of above. chosen
Provenance (4 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93aff048190a633c8ae2b76a41f |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea2af1388190b93235602ace679e |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.