Triple
T885923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Marino |
E19129
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
RSM
RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
|
E104582
|
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: RSM | Statement: [San Marino, vehicleRegistrationCode, RSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSM Context triple: [San Marino, vehicleRegistrationCode, RSM]
-
A.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
B.
RSJ
RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
-
C.
RPS Group
RPS Group is a global professional services firm providing engineering, environmental, and consulting solutions across infrastructure, energy, and built environment projects.
-
D.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
E.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
- 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: RSM Triple: [San Marino, vehicleRegistrationCode, RSM]
Generated description
RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RSM Target entity description: RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
-
A.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
B.
RSJ
RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
-
C.
RPS Group
RPS Group is a global professional services firm providing engineering, environmental, and consulting solutions across infrastructure, energy, and built environment projects.
-
D.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
E.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace714ec81909b0b1deaeac66be5 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c01f00f48190b954db4a0cb5baa8 |
completed | March 4, 2026, 5:16 a.m. |
| NEDg | Description generation | batch_69a7c088506c81908a9e8ac91cb5b69d |
completed | March 4, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c10c8c2881908a739fe824b48782 |
completed | March 4, 2026, 5:20 a.m. |
Created at: March 1, 2026, 7:39 p.m.