Triple
T14932880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canton of Lucerne |
E372311
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
LU
LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
|
E1128795
|
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: LU | Statement: [Canton of Lucerne, vehicleRegistrationCode, LU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LU Context triple: [Canton of Lucerne, vehicleRegistrationCode, LU]
-
A.
LU
LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
-
B.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
C.
LU
LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
-
D.
Lu
Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
-
E.
Lu
Lu is a common Chinese surname with historical roots and numerous notable bearers across politics, academia, and the arts.
- 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: LU Triple: [Canton of Lucerne, vehicleRegistrationCode, LU]
Generated description
LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LU Target entity description: LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
-
A.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
B.
LU
LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
-
C.
LU
LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
-
D.
Lu
Lu is the traditional abbreviation and historical name used to refer to China’s Shandong province.
-
E.
Lu
Lu is a common Chinese surname with historical roots and numerous notable bearers across politics, academia, and the arts.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8ac6d08190809045a6d00a3d47 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7fe58ba481908ac8e4112c28c279 |
completed | May 9, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe80be100481908dcf07b683fc1411 |
completed | May 9, 2026, 12:33 a.m. |
Created at: April 10, 2026, 2:37 a.m.