Triple
T21268858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple DOS |
E524201
|
entity |
| Predicate | supportsIntegerBASICPrograms |
P35060
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Apple DOS, supportsIntegerBASICPrograms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsIntegerBASICPrograms Context triple: [Apple DOS, supportsIntegerBASICPrograms, true]
-
A.
supportsIntegerOperations
Indicates that the subject is capable of performing or handling operations involving integer values.
-
B.
supportsProgramType
chosen
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
C.
supportsArbitraryPrecisionArithmetic
Indicates that the subject system or component can perform arithmetic operations with numbers of virtually unlimited size and precision, beyond fixed hardware-imposed limits.
-
D.
hasIntegralRepresentation
Indicates that one entity can be expressed or represented as an integral involving the other entity.
-
E.
supportsSIMInstruction
Indicates that one entity is capable of handling or executing a specified SIM (Subscriber Identity Module) instruction for another entity.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73651115081908b5083ba818a6bb1 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:01 p.m.