Triple
T17568916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | URLSession |
E427884
|
entity |
| Predicate | supportsBackgroundExecution |
P128019
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [URLSession, supportsBackgroundExecution, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBackgroundExecution Context triple: [URLSession, supportsBackgroundExecution, yes]
-
A.
supportsAnimationsOnBackgroundThread
Indicates that the subject is capable of running or handling animations on a background (non-main) thread.
-
B.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
C.
mayRequireBackgroundIn
Indicates that performing or understanding one entity may necessitate prior knowledge, experience, or qualifications in another domain or subject.
-
D.
supportsBackupScheduling
Indicates that an entity provides functionality to configure and manage the timing of backup operations for another entity.
-
E.
supportedWork
Indicates that one entity provides assistance, resources, or endorsement to enable or sustain the work or activity of another entity.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592f29d08190bc3de905d35af849 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.