Triple
T11222096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rottal-Inn |
E265593
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
GRI
GRI is the vehicle registration code assigned to the Rottal-Inn district in Bavaria, Germany.
|
E912153
|
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: GRI | Statement: [Rottal-Inn, hasVehicleRegistrationCode, GRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRI Context triple: [Rottal-Inn, hasVehicleRegistrationCode, GRI]
-
A.
GRI VI
GRI VI is the royal cypher of King George VI of the United Kingdom, used as his monogram on official insignia, medals, and other state emblems.
-
B.
GBI
GBI was the abbreviated name for the General Building Inspector for the Reich Capital, a Nazi-era office responsible for overseeing large-scale architectural and urban redevelopment projects in Berlin.
-
C.
GWI
GWI is the National Rail station code for Greenwich railway station in London, England.
-
D.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
E.
GCI
GCI is the Getty Conservation Institute, a research and education organization dedicated to advancing the conservation of cultural heritage worldwide.
- 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: GRI Triple: [Rottal-Inn, hasVehicleRegistrationCode, GRI]
Generated description
GRI is the vehicle registration code assigned to the Rottal-Inn district in Bavaria, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GRI Target entity description: GRI is the vehicle registration code assigned to the Rottal-Inn district in Bavaria, Germany.
-
A.
GRI VI
GRI VI is the royal cypher of King George VI of the United Kingdom, used as his monogram on official insignia, medals, and other state emblems.
-
B.
GBI
GBI was the abbreviated name for the General Building Inspector for the Reich Capital, a Nazi-era office responsible for overseeing large-scale architectural and urban redevelopment projects in Berlin.
-
C.
GWI
GWI is the National Rail station code for Greenwich railway station in London, England.
-
D.
GRG
GRG is the standard abbreviation for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
-
E.
GCI
GCI is the Getty Conservation Institute, a research and education organization dedicated to advancing the conservation of cultural heritage worldwide.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4977cab4481909c6b94ca07cd5e4a |
completed | April 19, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e49d38c2488190bfd4ba7772f534fe |
completed | April 19, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e8dc4ec81908d0defe77827d197 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:30 p.m.