Triple
T9690715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MagSafe power connector |
E234526
|
entity |
| Predicate | chargingIndicatorColor |
P73311
|
FINISHED |
| Object | amber for 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 for charging | Statement: [MagSafe power connector, chargingIndicatorColor, amber for charging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chargingIndicatorColor Context triple: [MagSafe power connector, chargingIndicatorColor, amber for charging]
-
A.
coneColor
Indicates that one entity is the color attribute assigned to a cone-shaped object.
-
B.
hasChargeColor
chosen
Indicates that one entity is associated with a particular color used to represent its electric charge or charge state.
-
C.
chargeColour
Indicates that one entity assigns or possesses a specific color associated with an electrical or physical charge of another entity.
-
D.
hornColor
Indicates the color attribute associated with an entity’s horn or horns.
-
E.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0422e88190a234ba74eb0dad25 |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.