Triple
T9413988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | district of Rosenheim |
E226767
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
AIB
AIB is a German vehicle registration code used for the district of Rosenheim in Bavaria.
|
E797520
|
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: AIB | Statement: [district of Rosenheim, hasVehicleRegistrationCode, AIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIB Context triple: [district of Rosenheim, hasVehicleRegistrationCode, AIB]
-
A.
AIB
AIB is the Smithsonian Institution’s historic Arts and Industries Building in Washington, D.C., known as one of the oldest museum buildings on the National Mall.
-
B.
Ais
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
-
C.
iBBA
The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
-
D.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
E.
AIC
AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
- 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: AIB Triple: [district of Rosenheim, hasVehicleRegistrationCode, AIB]
Generated description
AIB is a German vehicle registration code used for the district of Rosenheim in Bavaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AIB Target entity description: AIB is a German vehicle registration code used for the district of Rosenheim in Bavaria.
-
A.
AIB
AIB is the Smithsonian Institution’s historic Arts and Industries Building in Washington, D.C., known as one of the oldest museum buildings on the National Mall.
-
B.
Ais
The Ais were a Native American people who inhabited the Atlantic coast of what is now central and southeastern Florida prior to European colonization.
-
C.
iBBA
The iBBA is an international-focused Bachelor of Business Administration program offered by the Schulich School of Business that emphasizes global business education and cross-cultural experience.
-
D.
ABJ
ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
-
E.
AIC
AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68c680e48190be82e3829e8711f0 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107b63cf48190a072e3434a7b85a8 |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d108466fb481909682fcaac354b312 |
completed | April 4, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108be82888190b0ec08119cd00b68 |
completed | April 4, 2026, 12:49 p.m. |
Created at: March 30, 2026, 7:47 p.m.