Triple
T13490456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machine Readable Travel Documents |
E318619
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | identity document technology |
C33107
|
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: identity document technology Context triple: [Machine Readable Travel Documents, instanceOf, identity document technology]
-
A.
identity document
An identity document is an official record issued by an authority that verifies and authenticates a person's identity through personal details and often a photograph or biometric data.
-
B.
identity verification platform
An identity verification platform is a system that securely validates and authenticates individuals’ identities using documents, biometrics, and data checks to prevent fraud and ensure trust in digital interactions.
-
C.
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.
-
D.
document digitization tool
A document digitization tool is a software system that converts physical or analog documents into searchable, structured digital formats through processes like scanning, OCR, and metadata extraction.
-
E.
intelligence document
An intelligence document is a structured report that collects, analyzes, and presents information about entities, events, or trends to support informed decision-making, often in security, military, or strategic contexts.
- F. None of above. chosen
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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
Created at: April 9, 2026, 9:43 p.m.