Triple
T16124988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichach-Friedberg |
E391244
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
FDB
FDB is the vehicle registration code used on license plates for the Aichach-Friedberg district in Bavaria, Germany.
|
E1196034
|
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: FDB | Statement: [Aichach-Friedberg, vehicleRegistrationCode, FDB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDB Context triple: [Aichach-Friedberg, vehicleRegistrationCode, FDB]
-
A.
FDB
FDB is the ICAO airline designator used for flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
-
B.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
C.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
-
D.
EDB
EDB is the government department in Hong Kong responsible for formulating and implementing education policies and overseeing the education system.
-
E.
EDB
EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
- 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: FDB Triple: [Aichach-Friedberg, vehicleRegistrationCode, FDB]
Generated description
FDB is the vehicle registration code used on license plates for the Aichach-Friedberg district in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FDB Target entity description: FDB is the vehicle registration code used on license plates for the Aichach-Friedberg district in Bavaria, Germany.
-
A.
FDB
FDB is the ICAO airline designator used for flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
-
B.
BDB
BDB is the IATA airport code for Bundaberg Airport, a regional airport serving the city of Bundaberg in Queensland, Australia.
-
C.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
-
D.
EDB
EDB is the government department in Hong Kong responsible for formulating and implementing education policies and overseeing the education system.
-
E.
EDB
EDB is the National Rail station code for Edinburgh Waverley, the main railway station in Edinburgh, Scotland.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020408a88190bf3dfc893d577c55 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a9db848190bafb959bd7511246 |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3b375d48190a958b34c5df5c5f1 |
completed | May 10, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff447e1248190a3a1386946172429 |
completed | May 10, 2026, 2:58 a.m. |
Created at: April 10, 2026, 5 a.m.