Triple
T26212678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intel Core i3 |
E655528
|
entity |
| Predicate | mobilePackageType |
P160531
|
FINISHED |
| Object | BGA |
—
|
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: BGA | Statement: [Intel Core i3, mobilePackageType, BGA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mobilePackageType Context triple: [Intel Core i3, mobilePackageType, BGA]
-
A.
distributionPackageType
Indicates the specific kind or category of package used to distribute something (such as software, data, or products).
-
B.
carrierType
Indicates the type or category of carrier involved in the relationship or action (e.g., the kind of entity that carries or transports something).
-
C.
mobileVariant
Indicates that one entity is a mobile-specific version or adaptation of another entity.
-
D.
packageType
Indicates the classification or category of packaging associated with an item or shipment.
-
E.
cellularOptions
Indicates that one entity specifies or provides available cellular network or mobile connectivity options for 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60d1804548190ab0bba3376f28269 |
completed | May 2, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 26, 2026, 8:53 p.m.