Triple
T13114140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorpommern-Greifswald |
E311048
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
UER
UER is the vehicle registration code used on license plates for the Vorpommern-Greifswald district in the German state of Mecklenburg-Vorpommern.
|
E1021844
|
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: UER | Statement: [Vorpommern-Greifswald, vehicleRegistrationCode, UER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UER Context triple: [Vorpommern-Greifswald, vehicleRegistrationCode, UER]
-
A.
UER
UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
-
B.
UR
UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
-
C.
UR
UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
-
D.
UR
UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
-
E.
UEW
UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
- 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: UER Triple: [Vorpommern-Greifswald, vehicleRegistrationCode, UER]
Generated description
UER is the vehicle registration code used on license plates for the Vorpommern-Greifswald district in the German state of Mecklenburg-Vorpommern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UER Target entity description: UER is the vehicle registration code used on license plates for the Vorpommern-Greifswald district in the German state of Mecklenburg-Vorpommern.
-
A.
UER
UER is the French abbreviation for the European Broadcasting Union, an alliance of public service media organizations across Europe and beyond.
-
B.
UR
UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
-
C.
UR
UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
-
D.
UR
UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
-
E.
UEW
UEW is the commonly used abbreviation for the Wrocław University of Economics and Business, a major Polish institution specializing in economics, management, and related fields.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e33f44208190881bee81c2a41850 |
completed | May 3, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e40a13c8819084daf9b77b46a181 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.