Triple
T9209547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro (14-inch, 2021) |
E221076
|
entity |
| Predicate | keyboardBacklit |
P12005
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MacBook Pro (14-inch, 2021), keyboardBacklit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyboardBacklit Context triple: [MacBook Pro (14-inch, 2021), keyboardBacklit, true]
-
A.
hasBacklitKeyboard
chosen
Indicates that an entity is equipped with a keyboard that includes built-in lighting behind the keys.
-
B.
usesBacklightTechnology
Indicates that one entity employs backlight technology to illuminate or enhance the visibility of another entity or its display.
-
C.
keyboardsBy
Indicates that one entity is the creator, manufacturer, or provider of keyboards associated with another entity.
-
D.
keyboardFeature
Indicates that one entity is a feature, characteristic, or functional attribute of a keyboard.
-
E.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
- 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_69ca83e9d0e081908bdb71097201a06c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd9b3c8c081909a688ce699928fc0 |
completed | April 1, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:26 p.m.