Triple
T9223389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauterach |
E221617
|
entity |
| Predicate | vehicleRegistrationCodeDistrict |
P43726
|
FINISHED |
| Object |
UL
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
|
E786793
|
NE FINISHED |
How this triple was built (5 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: UL | Statement: [Lauterach, vehicleRegistrationCodeDistrict, UL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UL Context triple: [Lauterach, vehicleRegistrationCodeDistrict, UL]
-
A.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
B.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
C.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
D.
LU
LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
-
E.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg 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: UL Triple: [Lauterach, vehicleRegistrationCodeDistrict, UL]
Generated description
UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UL Target entity description: UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
-
A.
UL
UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
-
B.
UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
-
C.
UL
UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
-
D.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
E.
LU
LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vehicleRegistrationCodeDistrict Context triple: [Lauterach, vehicleRegistrationCodeDistrict, UL]
-
A.
identifiesRegistrationDistrict
Indicates that one entity specifies or designates the registration district to which another entity belongs or is associated.
-
B.
districtCode
chosen
Indicates that an entity is associated with, or identified by, a specific administrative district code.
-
C.
vehicleRegistrationCode
Indicates the official registration identifier assigned to a vehicle, typically used for legal identification and record-keeping.
-
D.
vehicleRegistrationAuthority
Indicates the authority or organization responsible for officially registering a vehicle and maintaining its registration records.
-
E.
governmentDistrict
Indicates that a government entity has jurisdiction over or is administratively associated with a specific district.
- F. None of above.
Provenance (6 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda7903208190b4e29a1591aab78a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0779de5a88190b6a9266c976e05b1 |
completed | April 4, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69d0782d305481909a2b41615e890863 |
completed | April 4, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0789ef4288190bf4d52e7ed47bd9b |
completed | April 4, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:28 p.m.