Triple
T18307377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittelfranken |
E438522
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
RH
RH is the vehicle registration code used on license plates for the district of Roth in the Middle Franconia region of Bavaria, Germany.
|
E1316937
|
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: RH | Statement: [Mittelfranken, vehicleRegistrationCode, RH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RH Context triple: [Mittelfranken, vehicleRegistrationCode, RH]
-
A.
RH
RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
-
B.
RHL
RHL is the National Rail station code for Rhyl railway station in Denbighshire, Wales.
-
C.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
D.
RM
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
-
E.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
- 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: RH Triple: [Mittelfranken, vehicleRegistrationCode, RH]
Generated description
RH is the vehicle registration code used on license plates for the district of Roth in the Middle Franconia region of Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RH Target entity description: RH is the vehicle registration code used on license plates for the district of Roth in the Middle Franconia region of Bavaria, Germany.
-
A.
RH
RH is a postcode area in the United Kingdom covering parts of Surrey and West Sussex, including towns such as Redhill, Crawley, and Horsham.
-
B.
RHL
RHL is the National Rail station code for Rhyl railway station in Denbighshire, Wales.
-
C.
RM
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
-
D.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
E.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021519a481908a9b6561946f1c65 |
completed | April 19, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb64223481909dd8f28ce1cf82ef |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bc7f702c81909303aeb4e26507fa |
completed | May 12, 2026, 11:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd792b7c8190a41cccc308e252ad |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:35 a.m.