Triple
T19608930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AIS |
E470678
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | automatic identification system |
C11412
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: automatic identification system Context triple: [AIS, instanceOf, automatic identification system]
-
A.
electronic identification system
An electronic identification system is a digital framework that securely verifies and manages individuals’ or entities’ identities using electronic credentials and authentication mechanisms.
-
B.
barcode-based tracking system
A barcode-based tracking system is a solution that uses machine-readable barcodes and scanners to automatically identify, record, and monitor the movement or status of items throughout a process or supply chain.
-
C.
UHF RFID standard
A UHF RFID standard defines the technical specifications, communication protocols, and performance requirements for ultra-high-frequency radio-frequency identification systems to ensure interoperability and reliable operation across devices and regions.
-
D.
RFID air interface standard
An RFID air interface standard defines the communication protocols, signal characteristics, and data exchange rules between RFID tags and readers over the wireless radio frequency link.
-
E.
intelligent transportation system component
chosen
An intelligent transportation system component is a hardware or software element that collects, processes, or communicates transportation-related data to optimize traffic flow, enhance safety, and improve overall system efficiency.
- F. None of above.
Provenance (1 batch)
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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
Created at: April 10, 2026, 1:43 p.m.