Triple
T1775286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Air (M1, 2020) |
E38962
|
entity |
| Predicate | batteryLifeVideoPlayback |
P25992
|
FINISHED |
| Object | up to 18 hours |
—
|
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: up to 18 hours | Statement: [MacBook Air (M1, 2020), batteryLifeVideoPlayback, up to 18 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batteryLifeVideoPlayback Context triple: [MacBook Air (M1, 2020), batteryLifeVideoPlayback, up to 18 hours]
-
A.
batteryLife
chosen
Indicates how long a device can operate on a single charge or set of batteries before needing to be recharged or replaced.
-
B.
maximumVideoLength
Indicates the greatest allowable or supported duration for a video in this context.
-
C.
videoQuality
Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
-
D.
hasVideoBoard
Indicates that an entity is equipped with or includes a video board (graphics/display hardware component).
-
E.
batteryCapacity
Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab17e368048190b7b73d156400f772 |
completed | March 6, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69aa61cd4c1c8190a8dff391f5642bfe |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.