Triple

T11103722
Position Surface form Disambiguated ID Type / Status
Subject Province of Rimini E262573 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object RN
RN is the vehicle registration code used on license plates for vehicles registered in the Province of Rimini in Italy.
 E905462 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: RN | Statement: [Province of Rimini, vehicleRegistrationCode, RN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RN
Context triple: [Province of Rimini, vehicleRegistrationCode, RN]
  • A. RN
    RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
  • B. RN
    RN is a Chilean center-right political party known as National Renewal.
  • C. RN
    RN is the stock ticker symbol under which the former American conglomerate RJR Nabisco was traded on public financial markets.
  • D. NR
    NR is the common abbreviation for New Relic, a cloud-based observability and application performance monitoring platform used by developers and IT operations teams.
  • E. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • 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: RN
Triple: [Province of Rimini, vehicleRegistrationCode, RN]
Generated description
RN is the vehicle registration code used on license plates for vehicles registered in the Province of Rimini in Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RN
Target entity description: RN is the vehicle registration code used on license plates for vehicles registered in the Province of Rimini in Italy.
  • A. RN
    RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
  • B. RN
    RN is a Chilean center-right political party known as National Renewal.
  • C. RN
    RN is the stock ticker symbol under which the former American conglomerate RJR Nabisco was traded on public financial markets.
  • D. NR
    NR is the common abbreviation for New Relic, a cloud-based observability and application performance monitoring platform used by developers and IT operations teams.
  • E. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2d33948190ac29d174694a78e5 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d6d03788190acc9748a3ba0d0ab completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.