Triple
T6210182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vorpommern-Rügen |
E138846
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
RÜG
RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
|
E575563
|
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: RÜG | Statement: [Vorpommern-Rügen, vehicleRegistrationCode, RÜG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RÜG Context triple: [Vorpommern-Rügen, vehicleRegistrationCode, RÜG]
-
A.
RUG
RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
-
B.
Rist
Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
-
C.
Ruswarp
Ruswarp is a small village in North Yorkshire, England, situated near Whitby along the River Esk and known for its scenic countryside and heritage railway connections.
-
D.
Tugen
Tugen is a Southern Nilotic language spoken primarily by the Tugen people of Kenya’s Rift Valley region.
-
E.
Rog
Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
- 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: RÜG Triple: [Vorpommern-Rügen, vehicleRegistrationCode, RÜG]
Generated description
RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RÜG Target entity description: RÜG is the vehicle registration code used for motor vehicles registered in the district of Vorpommern-Rügen in the German state of Mecklenburg-Vorpommern.
-
A.
RUG
RUG is the commonly used abbreviation for the University of Groningen, a major public research university in the Netherlands.
-
B.
Rist
Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
-
C.
Ruswarp
Ruswarp is a small village in North Yorkshire, England, situated near Whitby along the River Esk and known for its scenic countryside and heritage railway connections.
-
D.
Tugen
Tugen is a Southern Nilotic language spoken primarily by the Tugen people of Kenya’s Rift Valley region.
-
E.
Rog
Rog is a 2005 Indian Hindi-language thriller film directed by Himanshu Brahmbhatt, featuring Irrfan Khan in a prominent role.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f57821c8190bd7a5f6bf286ab09 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1bfe63d708190b734c064bdf0d735 |
completed | March 23, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1c3f2b1388190bef6fe203f11fa3f |
completed | March 23, 2026, 10:51 p.m. |
Created at: March 22, 2026, 4:21 p.m.