Triple
T1870017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macintosh LC |
E39011
|
entity |
| Predicate | audioPorts |
P33360
|
FINISHED |
| Object | 3.5 mm stereo headphone jack |
—
|
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: 3.5 mm stereo headphone jack | Statement: [Macintosh LC, audioPorts, 3.5 mm stereo headphone jack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioPorts Context triple: [Macintosh LC, audioPorts, 3.5 mm stereo headphone jack]
-
A.
hasMicrophones
Indicates that one entity possesses, includes, or is equipped with one or more microphones.
-
B.
audioChannels
Indicates the number or configuration of distinct audio signal paths (such as mono, stereo, or surround) used in a recording, transmission, or playback.
-
C.
controllerPortCount
Indicates the number of ports available on a given controller.
-
D.
hasUSBPort
Indicates that one entity is equipped with or includes a USB port available for connection or data/power transfer.
-
E.
audioChip
Indicates that one entity functions as, or contains, an audio processing chip in relation to another entity.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb0f630e881908cd9491aeaeb4aed |
completed | March 7, 2026, 5 a.m. |
Created at: March 4, 2026, 7:34 p.m.