Triple
T16093865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacWarehouse |
E390429
|
entity |
| Predicate | soldProductType |
P121874
|
FINISHED |
| Object | Macintosh hardware |
—
|
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: Macintosh hardware | Statement: [MacWarehouse, soldProductType, Macintosh hardware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldProductType Context triple: [MacWarehouse, soldProductType, Macintosh hardware]
-
A.
soldProducts
Indicates that an entity has sold certain products to another entity or in a particular context.
-
B.
saleType
Indicates the specific category or method by which a sale is conducted or classified (e.g., retail, wholesale, auction).
-
C.
soldWith
Indicates that one item is sold together with another item as part of the same transaction or offer.
-
D.
soldAs
Indicates that one entity is marketed, offered, or presented to others under the name, form, or role of another entity.
-
E.
soldTechnologyTo
Indicates that one entity transferred ownership or rights to a technology to another entity in exchange for compensation.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e1ff5cd7e481908a29214139a3de2e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 10, 2026, 4:59 a.m.