Triple
T391323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac mini |
E8886
|
entity |
| Predicate | shipsWith |
P10799
|
FINISHED |
| Object | macOS preinstalled |
—
|
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: macOS preinstalled | Statement: [Mac mini, shipsWith, macOS preinstalled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipsWith Context triple: [Mac mini, shipsWith, macOS preinstalled]
-
A.
shipUsed
Indicates that a particular ship was employed or utilized in carrying out an event, activity, or operation.
-
B.
shipRepresents
Indicates that one entity (typically a ship) serves as a symbol, stand-in, or representation for another entity, concept, or group.
-
C.
sisterShip
Indicates that two ships are considered counterparts or equivalents, typically of the same design, class, or series.
-
D.
shipInvolved
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
-
E.
shipClass
Indicates the classification or type category to which a particular ship belongs.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5d73e881909101308a583c8f13 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96a8ca48190abbd8de9b02c115c |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.