Triple
T4131195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Defense Enrollment Eligibility Reporting System |
E85044
|
entity |
| Predicate | linkedTo |
P37
|
FINISHED |
| Object |
Real-Time Automated Personnel Identification System
The Real-Time Automated Personnel Identification System (RAPIDS) is a U.S. Department of Defense system used to verify identity and issue Common Access Cards and other identification credentials to eligible personnel and dependents.
|
E414745
|
NE FINISHED |
How this triple was built (4 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: Real-Time Automated Personnel Identification System | Statement: [Defense Enrollment Eligibility Reporting System, linkedTo, Real-Time Automated Personnel Identification System]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Real-Time Automated Personnel Identification System Context triple: [Defense Enrollment Eligibility Reporting System, linkedTo, Real-Time Automated Personnel Identification System]
-
A.
Integrated Automated Fingerprint Identification System
The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
-
B.
Automated Passport Control kiosks
Automated Passport Control kiosks are self-service machines at U.S. ports of entry that streamline and expedite the inspection process for eligible travelers by automating passport and customs data collection.
-
C.
Machine Readable Travel Documents
Machine Readable Travel Documents are standardized passports and similar identity documents that contain data in a format readable by machines, enabling automated identity verification and border control.
-
D.
U.S. Visitor and Immigrant Status Indicator Technology
U.S. Visitor and Immigrant Status Indicator Technology (US-VISIT) is a U.S. government biometric entry–exit tracking system used to verify the identities and monitor the movements of foreign nationals entering and leaving the United States.
-
E.
Bimodal Voter Accreditation System
The Bimodal Voter Accreditation System is a Nigerian election technology that uses both fingerprint and facial recognition to verify voters’ identities and curb electoral fraud.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Real-Time Automated Personnel Identification System Triple: [Defense Enrollment Eligibility Reporting System, linkedTo, Real-Time Automated Personnel Identification System]
Generated description
The Real-Time Automated Personnel Identification System (RAPIDS) is a U.S. Department of Defense system used to verify identity and issue Common Access Cards and other identification credentials to eligible personnel and dependents.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Real-Time Automated Personnel Identification System Target entity description: The Real-Time Automated Personnel Identification System (RAPIDS) is a U.S. Department of Defense system used to verify identity and issue Common Access Cards and other identification credentials to eligible personnel and dependents.
-
A.
Integrated Automated Fingerprint Identification System
The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
-
B.
Automated Passport Control kiosks
Automated Passport Control kiosks are self-service machines at U.S. ports of entry that streamline and expedite the inspection process for eligible travelers by automating passport and customs data collection.
-
C.
Machine Readable Travel Documents
Machine Readable Travel Documents are standardized passports and similar identity documents that contain data in a format readable by machines, enabling automated identity verification and border control.
-
D.
U.S. Visitor and Immigrant Status Indicator Technology
U.S. Visitor and Immigrant Status Indicator Technology (US-VISIT) is a U.S. government biometric entry–exit tracking system used to verify the identities and monitor the movements of foreign nationals entering and leaving the United States.
-
E.
Bimodal Voter Accreditation System
The Bimodal Voter Accreditation System is a Nigerian election technology that uses both fingerprint and facial recognition to verify voters’ identities and curb electoral fraud.
- F. None of above. chosen
Provenance (5 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af021f6a508190b8ac1e0d8b859f74 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c26d4c81909b8be74855cbd03f |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577c2b784819096d8218dd1c1478d |
completed | March 14, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5782cc448819080e306952da24ac0 |
completed | March 14, 2026, 3:01 p.m. |
Created at: March 9, 2026, 3:42 p.m.