Triple
T11494339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PowerEdge |
E272494
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Dell PowerEdge |
E272494
|
NE 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 | Statement: [PowerEdge, brand, Dell PowerEdge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dell PowerEdge Context triple: [PowerEdge, brand, Dell PowerEdge]
-
A.
PowerEdge
chosen
PowerEdge is Dell's line of enterprise-grade servers designed for data centers, virtualization, and business-critical workloads.
-
B.
Compaq ProLiant
Compaq ProLiant was a line of enterprise server computers developed by Compaq that became widely used in data centers before the brand was succeeded by HP ProLiant.
-
C.
HP ProLiant servers
HP ProLiant servers are a widely used line of enterprise-class x86 server systems designed for data centers and business IT infrastructure.
-
D.
HPE BladeSystem
HPE BladeSystem is Hewlett Packard Enterprise’s modular blade server infrastructure platform designed for scalable, high-density compute, storage, and networking in data centers.
-
E.
HPE Alletra
HPE Alletra is a cloud-native data storage platform from Hewlett Packard Enterprise designed to deliver high-performance, scalable, and as-a-service storage for modern workloads across edge, core, and cloud environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85ddffdf88190a00e94ad5b8b91a5 |
completed | April 10, 2026, 2:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6048a05c88190968f7827c5dd5342 |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.