Triple
T1723977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dresden |
E37454
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
DD
DD is the vehicle registration code used on license plates for the German city of Dresden.
|
E196422
|
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: DD | Statement: [Dresden, vehicleRegistrationCode, DD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DD Context triple: [Dresden, vehicleRegistrationCode, DD]
-
A.
DD
DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
DD
DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
-
C.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
-
D.
DiDi
DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
-
E.
DY
DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
- 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: DD Triple: [Dresden, vehicleRegistrationCode, DD]
Generated description
DD is the vehicle registration code used on license plates for the German city of Dresden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DD Target entity description: DD is the vehicle registration code used on license plates for the German city of Dresden.
-
A.
DD
DD is the official vehicle registration code assigned to the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
-
B.
DD
DD is the stock ticker symbol for DuPont, a major American chemicals and materials company known for innovations such as nylon, Kevlar, and Teflon.
-
C.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
-
D.
DiDi
DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
-
E.
DY
DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635a5c8c8190b3fbf977a93838fd |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0d58cd08190bdda9f03ca458081 |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1e13d408190b393c00c331125a2 |
completed | March 8, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada292a34c8190a566c2909342ab27 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:30 p.m.