Triple

T5552343
Position Surface form Disambiguated ID Type / Status
Subject Bettlach E145555 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SO
SO is the Swiss canton code for Solothurn, used as the vehicle registration identifier for that region.
 E530914 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: SO | Statement: [Bettlach, vehicleRegistrationCode, SO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SO
Context triple: [Bettlach, vehicleRegistrationCode, SO]
  • A. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • B. 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.
  • C. 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.
  • D. So
    So is the given name of So Taguchi, a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball.
  • E. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • 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: SO
Triple: [Bettlach, vehicleRegistrationCode, SO]
Generated description
SO is the Swiss canton code for Solothurn, used as the vehicle registration identifier for that region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SO
Target entity description: SO is the Swiss canton code for Solothurn, used as the vehicle registration identifier for that region.
  • A. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • B. 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.
  • C. 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.
  • D. So
    So is the given name of So Taguchi, a former Japanese professional baseball outfielder who played in both Nippon Professional Baseball and Major League Baseball.
  • E. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01ff872bc81908e14776f7ba4154e completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028350bc08190a8b48893157b86a1 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c037b5be3c819098c8500350267a1e completed March 22, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_69c0393144248190a97d1f82b81cc868 completed March 22, 2026, 6:47 p.m.
Created at: March 22, 2026, 3:35 p.m.