Triple
T25425852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socket 8 |
E637112
|
entity |
| Predicate | usedWithBrand |
P4791
|
FINISHED |
| Object | Dell PowerEdge servers |
—
|
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: Dell PowerEdge servers | Statement: [Socket 8, usedWithBrand, Dell PowerEdge servers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWithBrand Context triple: [Socket 8, usedWithBrand, Dell PowerEdge servers]
-
A.
usedOnBrand
Indicates that something (such as a product, material, or element) is applied to, associated with, or utilized in connection with a particular brand.
-
B.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
C.
usedWith
chosen
Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
-
D.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
-
E.
usedInBrand
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bfdb748190abfd40ed1838d9aa |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 1:57 p.m.