Triple
T16124987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichach-Friedberg |
E391244
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
AIC
AIC is the vehicle registration code used on license plates for vehicles registered in the Aichach-Friedberg district in Bavaria, Germany.
|
E1196033
|
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: AIC | Statement: [Aichach-Friedberg, vehicleRegistrationCode, AIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIC Context triple: [Aichach-Friedberg, vehicleRegistrationCode, AIC]
-
A.
AIC
AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
-
B.
AIC
AIC is the collective term for Australia’s national intelligence agencies responsible for gathering, assessing, and disseminating security and foreign intelligence.
-
C.
AICS
AICS is the Allen Institute for Cell Science, a research organization focused on understanding and modeling the structure and behavior of human cells.
-
D.
AICUM
AICUM is a nonprofit advocacy organization representing the interests of private, independent colleges and universities in Massachusetts.
-
E.
AICUM
AICUM is an academic or research-related organization associated with George Washington University.
- 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: AIC Triple: [Aichach-Friedberg, vehicleRegistrationCode, AIC]
Generated description
AIC is the vehicle registration code used on license plates for vehicles registered in the Aichach-Friedberg district in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AIC Target entity description: AIC is the vehicle registration code used on license plates for vehicles registered in the Aichach-Friedberg district in Bavaria, Germany.
-
A.
AIC
AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
-
B.
AIC
AIC is the collective term for Australia’s national intelligence agencies responsible for gathering, assessing, and disseminating security and foreign intelligence.
-
C.
AICS
AICS is the Allen Institute for Cell Science, a research organization focused on understanding and modeling the structure and behavior of human cells.
-
D.
AICUM
AICUM is an academic or research-related organization associated with George Washington University.
-
E.
AICUM
AICUM is a nonprofit advocacy organization representing the interests of private, independent colleges and universities in Massachusetts.
- 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.