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.