Triple

T3503213
Position Surface form Disambiguated ID Type / Status
Subject Superior Court of California, County of San Diego E74015 entity
Predicate hasDivision P35 FINISHED
Object Traffic and Minor Offenses Division
The Traffic and Minor Offenses Division is a unit of the San Diego County Superior Court that handles infractions and lesser criminal matters such as traffic violations and other minor offenses.
 E363845 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: Traffic and Minor Offenses Division | Statement: [Superior Court of California, County of San Diego, hasDivision, Traffic and Minor Offenses Division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Traffic and Minor Offenses Division
Context triple: [Superior Court of California, County of San Diego, hasDivision, Traffic and Minor Offenses Division]
  • A. Division of Traffic Operations
    The Division of Traffic Operations is a unit within the Kentucky Transportation Cabinet responsible for managing and improving the safety and efficiency of the state’s roadway traffic systems.
  • B. Traffic Safety and Specialized Enforcement Branch
    The Traffic Safety and Specialized Enforcement Branch is a specialized unit of Washington, D.C.’s Metropolitan Police Department focused on traffic law enforcement, roadway safety, and related specialized policing operations.
  • C. Traffic Division
    The Traffic Division is the specialized unit of the Portland Police Bureau responsible for enforcing traffic laws, investigating collisions, and promoting roadway safety within the city.
  • D. Traffic Division
    The Traffic Division is a specialized unit within the Superior Court of Guam that handles cases and violations related to traffic laws and regulations.
  • E. Traffic Division
    The Traffic Division is a specialized branch of the Philadelphia Municipal Court that handles cases involving traffic violations and related motor vehicle offenses within the city.
  • 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: Traffic and Minor Offenses Division
Triple: [Superior Court of California, County of San Diego, hasDivision, Traffic and Minor Offenses Division]
Generated description
The Traffic and Minor Offenses Division is a unit of the San Diego County Superior Court that handles infractions and lesser criminal matters such as traffic violations and other minor offenses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Traffic and Minor Offenses Division
Target entity description: The Traffic and Minor Offenses Division is a unit of the San Diego County Superior Court that handles infractions and lesser criminal matters such as traffic violations and other minor offenses.
  • A. Division of Traffic Operations
    The Division of Traffic Operations is a unit within the Kentucky Transportation Cabinet responsible for managing and improving the safety and efficiency of the state’s roadway traffic systems.
  • B. Traffic Safety and Specialized Enforcement Branch
    The Traffic Safety and Specialized Enforcement Branch is a specialized unit of Washington, D.C.’s Metropolitan Police Department focused on traffic law enforcement, roadway safety, and related specialized policing operations.
  • C. Traffic Division
    The Traffic Division is the specialized unit of the Portland Police Bureau responsible for enforcing traffic laws, investigating collisions, and promoting roadway safety within the city.
  • D. Traffic Division
    The Traffic Division is a specialized unit within the Superior Court of Guam that handles cases and violations related to traffic laws and regulations.
  • E. Traffic Division
    The Traffic Division is a specialized branch of the Philadelphia Municipal Court that handles cases involving traffic violations and related motor vehicle offenses within the city.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf0c2b48190b49923137bb9e45d completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373db933881908557d678dcdee382 completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b377a690348190a765b021bbbc820c completed March 13, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_69b3781aaab48190a497a0929966ec12 completed March 13, 2026, 2:36 a.m.
Created at: March 8, 2026, 3:18 p.m.