Triple
T11243744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A12X Bionic |
E266143
|
entity |
| Predicate | hasIntegratedImageSignalProcessor |
P98653
|
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 A12X Bionic, hasIntegratedImageSignalProcessor, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntegratedImageSignalProcessor Context triple: [Apple A12X Bionic, hasIntegratedImageSignalProcessor, true]
-
A.
supportsInterlacedVideo
Indicates that an entity is capable of handling, processing, or displaying interlaced video signals.
-
B.
hasIntegratedMMU
Indicates that a system or processor includes a built-in Memory Management Unit (MMU) as part of its architecture.
-
C.
supportsIntelQuickSyncVideo
Indicates that one entity provides compatibility with or functional support for Intel Quick Sync Video hardware-accelerated video processing.
-
D.
supportsInterlacedCompositeArtifacts
Indicates that one entity provides compatibility with or functionality for handling interlaced composite artifacts associated with another entity.
-
E.
hasIntegratedUnit
Indicates that one entity includes another entity as a built-in or internally combined component or unit.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:30 p.m.