Triple
T7428129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasper Wireless |
E171418
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Jasper Wireless |
E171418
|
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: Jasper Wireless | Statement: [Jasper Wireless, formerName, Jasper Wireless]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jasper Wireless Context triple: [Jasper Wireless, formerName, Jasper Wireless]
-
A.
Jasper Wireless
chosen
Jasper Wireless was a company specializing in cloud-based platforms for managing and monetizing Internet of Things (IoT) and machine-to-machine (M2M) mobile services, later rebranded as Jasper Technologies.
-
B.
Multitech
Multitech was the original name of Acer, a Taiwanese multinational technology company known for manufacturing computers, laptops, and related electronics.
-
C.
Telico
Telico is a small unincorporated community located in Ellis County, Texas.
-
D.
Radisys
Radisys is a U.S.-based telecommunications solutions company known for providing open telecom and digital infrastructure platforms to service providers and network operators worldwide.
-
E.
Opal Telecom
Opal Telecom was a UK-based telecommunications provider that became part of TalkTalk’s business services operations following its acquisition.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f306bfe481909f99f6792de95ffc |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f0e28e88190805108dff740dda3 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.