Triple
T9730498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayreuth district |
E235725
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
EBS
EBS is a German vehicle registration code assigned to the Bayreuth district in the state of Bavaria.
|
E817101
|
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: EBS | Statement: [Bayreuth district, hasVehicleRegistrationCode, EBS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EBS Context triple: [Bayreuth district, hasVehicleRegistrationCode, EBS]
-
A.
EBS
EBS is a Dutch public transport company that operates bus services in and around Amsterdam and other regions in the Netherlands.
-
B.
Amazon EBS
Amazon EBS is a scalable, high-performance block storage service used with Amazon EC2 instances for persistent data storage in the AWS cloud.
-
C.
Amazon EFS
Amazon EFS is a fully managed, scalable, cloud-native file storage service that provides shared, elastic file systems for use with AWS compute resources.
-
D.
ECS
ECS is the abbreviation for the Patriot missile system’s Engagement Control Station, the command and control center that manages and directs air and missile defense engagements.
-
E.
ECS
ECS (Enhanced Chip Set) is an improved version of the Amiga computer’s original graphics and system chipset, offering expanded display modes and hardware capabilities over its predecessor.
- 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: EBS Triple: [Bayreuth district, hasVehicleRegistrationCode, EBS]
Generated description
EBS is a German vehicle registration code assigned to the Bayreuth district in the state of Bavaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EBS Target entity description: EBS is a German vehicle registration code assigned to the Bayreuth district in the state of Bavaria.
-
A.
EBS
EBS is a Dutch public transport company that operates bus services in and around Amsterdam and other regions in the Netherlands.
-
B.
Amazon EBS
Amazon EBS is a scalable, high-performance block storage service used with Amazon EC2 instances for persistent data storage in the AWS cloud.
-
C.
Amazon EFS
Amazon EFS is a fully managed, scalable, cloud-native file storage service that provides shared, elastic file systems for use with AWS compute resources.
-
D.
ECS
ECS is the abbreviation for the Patriot missile system’s Engagement Control Station, the command and control center that manages and directs air and missile defense engagements.
-
E.
ECS
ECS (Enhanced Chip Set) is an improved version of the Amiga computer’s original graphics and system chipset, offering expanded display modes and hardware capabilities over its predecessor.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb0ff488190ac32ed304a3cd3bc |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb97b6c81908d5f1d4f587a9188 |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a16fa29c8190be50ddaa566fcd7f |
completed | April 4, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a335f2808190aca0c1689787b90a |
completed | April 4, 2026, 11:48 p.m. |
Created at: March 30, 2026, 8:21 p.m.