Triple

T9482353
Position Surface form Disambiguated ID Type / Status
Subject Sonneberg E228673 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SON
SON is the vehicle registration code assigned to the Sonneberg district in the German state of Thuringia.
 E802511 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: SON | Statement: [Sonneberg, vehicleRegistrationCode, SON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SON
Context triple: [Sonneberg, vehicleRegistrationCode, SON]
  • A. SON
    SON is the commonly used acronym for the Saugeen Ojibway Nation, an Indigenous community in Ontario composed primarily of the Saugeen First Nation and the Chippewas of Nawash Unceded First Nation.
  • B. SONO
    SONO is the stock ticker symbol for Sonos, Inc., a company known for its wireless home audio and smart speaker systems.
  • C. Sonning
    Sonning is a picturesque village on the River Thames in Berkshire, England, known for its historic architecture, scenic riverside setting, and literary associations.
  • D. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • E. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • 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: SON
Triple: [Sonneberg, vehicleRegistrationCode, SON]
Generated description
SON is the vehicle registration code assigned to the Sonneberg district in the German state of Thuringia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SON
Target entity description: SON is the vehicle registration code assigned to the Sonneberg district in the German state of Thuringia.
  • A. SON
    SON is the commonly used acronym for the Saugeen Ojibway Nation, an Indigenous community in Ontario composed primarily of the Saugeen First Nation and the Chippewas of Nawash Unceded First Nation.
  • B. SONO
    SONO is the stock ticker symbol for Sonos, Inc., a company known for its wireless home audio and smart speaker systems.
  • C. Sonning
    Sonning is a picturesque village on the River Thames in Berkshire, England, known for its historic architecture, scenic riverside setting, and literary associations.
  • D. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • E. SO
    SO is the Swiss canton code for Solothurn, used as the vehicle registration identifier for that region.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0620608190a6697777ec2eec26 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12db5c20881909a7011a3d25dd2b8 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e4f1b9081908e73aa674d1ef0e4 completed April 4, 2026, 3:29 p.m.
Created at: March 30, 2026, 7:55 p.m.