Triple
T17559421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast Application Notification |
E427660
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Fast Connection Failover |
—
|
NE NERFINISHED |
How this triple was built (3 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: Fast Connection Failover | Statement: [Fast Application Notification, relatedTo, Fast Connection Failover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fast Connection Failover Context triple: [Fast Application Notification, relatedTo, Fast Connection Failover]
-
A.
Timeout Detection and Recovery
Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
-
B.
FastTrack protocol
The FastTrack protocol is a peer-to-peer file-sharing protocol best known for powering early 2000s services like Kazaa, Grokster, and iMesh.
-
C.
Connectivity Fault Management
Connectivity Fault Management is a standardized Ethernet operations, administration, and maintenance (OAM) framework for detecting, isolating, and managing connectivity issues in carrier and enterprise networks.
-
D.
HALDB (High Availability Large Databases)
HALDB (High Availability Large Databases) is an IMS database organization designed to provide high availability and scalability for very large data volumes through partitioning and online management capabilities.
-
E.
Fibre Channel over IP
Fibre Channel over IP is a storage networking technology that encapsulates Fibre Channel frames within IP packets to enable long-distance connectivity between Fibre Channel SANs over IP networks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fast Connection Failover Target entity description: Fast Connection Failover is an Oracle database high-availability feature that enables client applications to rapidly detect and recover from database instance or service failures with minimal disruption.
-
A.
Timeout Detection and Recovery
Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
-
B.
FastTrack protocol
The FastTrack protocol is a peer-to-peer file-sharing protocol best known for powering early 2000s services like Kazaa, Grokster, and iMesh.
-
C.
Connectivity Fault Management
Connectivity Fault Management is a standardized Ethernet operations, administration, and maintenance (OAM) framework for detecting, isolating, and managing connectivity issues in carrier and enterprise networks.
-
D.
HALDB (High Availability Large Databases)
HALDB (High Availability Large Databases) is an IMS database organization designed to provide high availability and scalability for very large data volumes through partitioning and online management capabilities.
-
E.
Fibre Channel over IP
Fibre Channel over IP is a storage networking technology that encapsulates Fibre Channel frames within IP packets to enable long-distance connectivity between Fibre Channel SANs over IP networks.
- F. None of above. chosen
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562573e48190a19f30fe915a5455 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.