Triple
T5016370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iCloud Music Library |
E112748
|
entity |
| Predicate | syncScope |
P61547
|
FINISHED |
| Object | personal music library |
—
|
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: personal music library | Statement: [iCloud Music Library, syncScope, personal music library]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: syncScope Context triple: [iCloud Music Library, syncScope, personal music library]
-
A.
encodingScope
Indicates the range or extent of content or information that is covered, represented, or captured by a particular encoding.
-
B.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
C.
synchronizesWith
Indicates that two or more entities coordinate their states or activities so that they occur in step or remain temporally consistent with each other.
-
D.
coverageScope
Indicates the extent or range of entities, conditions, or situations that are included under a particular coverage or applicability.
-
E.
participantScope
Indicates the extent, range, or set of participants that are involved in or affected by a given relationship or action.
- 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_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd732f4c5c8190b90f8e4daab458ee |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:35 p.m.