Triple
T9762643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smart Playlists |
E236705
|
entity |
| Predicate | supportsLogicalCombination |
P13868
|
FINISHED |
| Object | ALL (AND) |
—
|
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: ALL (AND) | Statement: [Smart Playlists, supportsLogicalCombination, ALL (AND)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLogicalCombination Context triple: [Smart Playlists, supportsLogicalCombination, ALL (AND)]
-
A.
isSubtractiveCombination
Indicates that one entity is formed or derived by subtracting one or more components, values, or parts of another entity.
-
B.
hasLogicalStructure
Indicates that one entity possesses or exhibits a specific underlying logical organization or pattern defined by another entity.
-
C.
supportsOperationsIn
chosen
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
D.
hasConjunction
Indicates that two or more entities are linked together by a coordinating conjunction, forming a combined or joint relationship.
-
E.
junctionOf
Indicates that one or more entities meet or intersect at a common point, forming a junction between them.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09d8bc88190808145f141b4a9f8 |
completed | April 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69cd03d0772c8190bd1750cf1cfba309 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.