Triple
T32182646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Programmable Array Logic device |
E822026
|
entity |
| Predicate | commonlyPackagedAs |
P90629
|
FINISHED |
| Object | DIP package |
—
|
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: DIP package | Statement: [Programmable Array Logic device, commonlyPackagedAs, DIP package]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonlyPackagedAs Context triple: [Programmable Array Logic device, commonlyPackagedAs, DIP package]
-
A.
typicalPackage
chosen
Indicates that something is the standard or commonly used package associated with a given entity or context.
-
B.
isCommonlyMarketedAs
Indicates that something is frequently promoted, advertised, or sold under a particular name, label, or characterization.
-
C.
packagingIncludes
Indicates that the packaging of one item contains or comes with another specified item or component.
-
D.
isOftenPurchasedAs
Indicates that one item is frequently bought together with, or in conjunction with, another item.
-
E.
packaging
Indicates that one entity serves as the container, wrapper, or enclosing material used to package another entity.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 1, 2026, 12:34 a.m.