Triple
T415792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Studio |
E9589
|
entity |
| Predicate | supportsDisplayCount |
P5992
|
FINISHED |
| Object | multiple external displays |
—
|
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: multiple external displays | Statement: [Mac Studio, supportsDisplayCount, multiple external displays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDisplayCount Context triple: [Mac Studio, supportsDisplayCount, multiple external displays]
-
A.
supportsDeviceCount
chosen
Indicates the number of devices that a system, service, or component is capable of supporting concurrently.
-
B.
hasNumberOfScreens
Indicates the quantity of screens associated with or contained in a given entity.
-
C.
hasDisplayType
Indicates the type or category of display associated with an entity, such as the format, mode, or presentation style used to show its content.
-
D.
supportsView
Indicates that one entity provides the capability to display, render, or present another entity in a particular view or format.
-
E.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edcff4688190809d83d112ff25a5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.