Triple
T15738081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wechselburg |
E381527
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
DL
DL is the regional vehicle registration code assigned to the area that includes the town of Wechselburg in Germany.
|
E1174140
|
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: DL | Statement: [Wechselburg, vehicleRegistrationCode, DL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DL Context triple: [Wechselburg, vehicleRegistrationCode, DL]
-
A.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
B.
DL
DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
-
C.
DL
DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
-
D.
DL
DL is a music producer best known for working on Ice Cube’s 1999 hip hop album "Nigga Please."
-
E.
DL
DL is the in-game tag of Yiliang "Doublelift" Peng, a renowned professional League of Legends AD carry player and streamer.
- 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: DL Triple: [Wechselburg, vehicleRegistrationCode, DL]
Generated description
DL is the regional vehicle registration code assigned to the area that includes the town of Wechselburg in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DL Target entity description: DL is the regional vehicle registration code assigned to the area that includes the town of Wechselburg in Germany.
-
A.
DL
DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
-
B.
DL
DL is the postcode area in northern England that covers Darlington and surrounding parts of County Durham and North Yorkshire.
-
C.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
D.
DL
DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
-
E.
DL
DL is the in-game tag of Yiliang "Doublelift" Peng, a renowned professional League of Legends AD carry player and streamer.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd6eb888190b7a9b07b76e62c0d |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830336248190a8bbd8153dd95daa |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83ca33d08190816130bf2ea735df |
completed | May 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff846436e48190b711da134c9a3b81 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.