Triple
T11027703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultrastar |
E260670
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Samsung enterprise SSDs |
E232178
|
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: Samsung enterprise SSDs | Statement: [Ultrastar, competesWith, Samsung enterprise SSDs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samsung enterprise SSDs Context triple: [Ultrastar, competesWith, Samsung enterprise SSDs]
-
A.
SAS SSDs
SAS SSDs are high-performance solid-state drives that use the Serial Attached SCSI interface, commonly deployed in enterprise servers and storage systems for fast, reliable data access.
-
B.
Samsung SDS
Samsung SDS is an information technology and consulting services company within the Samsung Group, specializing in IT solutions, cloud, and digital transformation services.
-
C.
SanDisk
SanDisk is a prominent data storage brand known for its flash memory products such as SD cards, USB drives, and solid-state drives.
-
D.
SSDs
chosen
SSDs (solid-state drives) are high-speed data storage devices that use flash memory instead of spinning disks to provide faster, more reliable performance in computers and other electronics.
-
E.
SSD
SSD is the National Rail station code assigned to Stansted Airport railway station in Essex, England.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d190f08190bcb5949ee24306f1 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3753451e08190bc42ab99d01926f9 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:25 p.m.