Triple
T31968426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple 60W MagSafe Power Adapter |
E816242
|
entity |
| Predicate | LEDIndicatorColor |
P34288
|
FINISHED |
| Object | amber when charging |
—
|
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: amber when charging | Statement: [Apple 60W MagSafe Power Adapter, LEDIndicatorColor, amber when charging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LEDIndicatorColor Context triple: [Apple 60W MagSafe Power Adapter, LEDIndicatorColor, amber when charging]
-
A.
hasOnboardLED
Indicates that an entity includes an LED that is physically integrated into its hardware.
-
B.
hasOnboardLEDs
chosen
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
-
C.
lighthouseColor
Indicates the color attribute associated with a lighthouse.
-
D.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
-
E.
kitColorCode
Indicates the color designation or code assigned to a kit, specifying its visual color scheme or appearance.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2ff90ec81909b5d858880389711 |
completed | May 3, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:10 a.m.