Triple
T12086489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 12 mini |
E287818
|
entity |
| Predicate | batteryCapacityApprox |
P8443
|
FINISHED |
| Object | 2227 mAh |
—
|
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: 2227 mAh | Statement: [iPhone 12 mini, batteryCapacityApprox, 2227 mAh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batteryCapacityApprox Context triple: [iPhone 12 mini, batteryCapacityApprox, 2227 mAh]
-
A.
batteryCapacity
chosen
Indicates the amount of electrical energy a battery can store or deliver, typically expressed in units like mAh or Wh.
-
B.
batteryType
Indicates the specific kind or category of battery associated with or used by an entity.
-
C.
batteryLife
Indicates how long a device can operate on a single charge or set of batteries before needing to be recharged or replaced.
-
D.
hasInternalBattery
Indicates that one entity possesses a built-in power source contained within itself, rather than relying solely on external power.
-
E.
bootCapacity
Indicates the storage volume or carrying capacity available in the boot (trunk) of a vehicle.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.