Triple
T2663220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13-inch MacBook Pro (M2, 2022) |
E54771
|
entity |
| Predicate | powerAdapter |
P41267
|
FINISHED |
| Object | 67W USB-C power adapter |
—
|
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: 67W USB-C power adapter | Statement: [13-inch MacBook Pro (M2, 2022), powerAdapter, 67W USB-C power adapter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerAdapter Context triple: [13-inch MacBook Pro (M2, 2022), powerAdapter, 67W USB-C power adapter]
-
A.
powerAdapterWattage
Indicates the electrical power capacity, in watts, that a power adapter can supply.
-
B.
hasPowerRegulator
Indicates that an entity is equipped with or connected to a power regulator component that controls or stabilizes its electrical power.
-
C.
supportsPowerDelivery
Indicates that one entity is capable of providing electrical power to another entity through a compatible interface or connection.
-
D.
hasPowerSource
Indicates that an entity derives its operational energy or functionality from a specified power source.
-
E.
powerChange
Indicates a change in the level, amount, or state of power associated with an entity over time.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96b9f1c8190a8a9460ca88a9aaf |
completed | March 7, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69abd81768748190bd965f367cf6ef37 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8dd05c48190b4f90031642c4091 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:53 p.m.