Triple
T21586261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verden an der Aller |
E532658
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
VER
VER is the vehicle registration code used for cars registered in the district of Verden in Lower Saxony, Germany.
|
E1491988
|
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: VER | Statement: [Verden an der Aller, vehicleRegistrationCode, VER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VER Context triple: [Verden an der Aller, vehicleRegistrationCode, VER]
-
A.
VER
VER is the IATA airport code for General Heriberto Jara International Airport serving the city of Veracruz, Mexico.
-
B.
VE
VE is the Italian vehicle registration code assigned to the Metropolitan City of Venice.
-
C.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
-
D.
VE
VE is the vehicle registration code used on license plates for vehicles registered in Ajka, Hungary.
-
E.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
- 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: VER Triple: [Verden an der Aller, vehicleRegistrationCode, VER]
Generated description
VER is the vehicle registration code used for cars registered in the district of Verden in Lower Saxony, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VER Target entity description: VER is the vehicle registration code used for cars registered in the district of Verden in Lower Saxony, Germany.
-
A.
VER
VER is the IATA airport code for General Heriberto Jara International Airport serving the city of Veracruz, Mexico.
-
B.
VE
VE is the Italian vehicle registration code assigned to the Metropolitan City of Venice.
-
C.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
-
D.
VE
VE is the vehicle registration code used on license plates for vehicles registered in Ajka, Hungary.
-
E.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb6137fc8190840b7c1275e62a1d |
completed | April 27, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f67cc2288190886c4124c97edb67 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f9614ab88190806a3ed38b7ba537 |
completed | May 17, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fa3c92a8819082e454d907971b21 |
completed | May 17, 2026, 5:26 p.m. |
Created at: April 16, 2026, 6:31 p.m.