Triple
T19050513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Düren |
E466244
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
DN
DN is the vehicle registration code used on license plates for the district of Düren in the German state of North Rhine-Westphalia.
|
E1356350
|
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: DN | Statement: [Düren, vehicleRegistrationCode, DN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DN Context triple: [Düren, vehicleRegistrationCode, DN]
-
A.
DN
DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
DN
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
-
C.
DEN
DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
-
D.
ND
ND is the official two-letter United States Postal Service abbreviation for the state of North Dakota.
-
E.
ND
ND is the station code for Nadiad Junction, a key railway station in the Indian state of Gujarat.
- 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: DN Triple: [Düren, vehicleRegistrationCode, DN]
Generated description
DN is the vehicle registration code used on license plates for the district of Düren in the German state of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DN Target entity description: DN is the vehicle registration code used on license plates for the district of Düren in the German state of North Rhine-Westphalia.
-
A.
DN
DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
DN
DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
-
C.
DEN
DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
-
D.
ND
ND is the official two-letter United States Postal Service abbreviation for the state of North Dakota.
-
E.
ND
ND is the station code for Nadiad Junction, a key railway station in the Indian state of Gujarat.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc02597c8190b39fd2c7b7e42258 |
completed | April 20, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c553eaf481909a8e07efec1f58c5 |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c8e3015c819081b70695b9571e1c |
completed | May 14, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c95848b88190bf2a9a37b3d51b55 |
completed | May 14, 2026, 1:08 p.m. |
Created at: April 10, 2026, 12:03 p.m.