Triple

T6373481
Position Surface form Disambiguated ID Type / Status
Subject Canton of Ticino E143404 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object TI
TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
 E588965 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: TI | Statement: [Canton of Ticino, vehicleRegistrationCode, TI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TI
Context triple: [Canton of Ticino, vehicleRegistrationCode, TI]
  • A. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • B. Ti
    Ti was an ancient Egyptian official of the Fifth Dynasty, known from his elaborately decorated mastaba tomb at Saqqara that provides important insights into Old Kingdom life and art.
  • C. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • D. TA
    TA is the postcode area in southwest England that covers Taunton and surrounding towns including Minehead.
  • E. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • 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: TI
Triple: [Canton of Ticino, vehicleRegistrationCode, TI]
Generated description
TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TI
Target entity description: TI is the official vehicle registration code used on license plates for vehicles registered in the Swiss Canton of Ticino.
  • A. TI
    TI is a technology company best known for designing and manufacturing calculators, semiconductors, and various electronic components.
  • B. Ti
    Ti was an ancient Egyptian official of the Fifth Dynasty, known from his elaborately decorated mastaba tomb at Saqqara that provides important insights into Old Kingdom life and art.
  • C. TIJ
    TIJ is the IATA airport code for Tijuana International Airport in Tijuana, Mexico.
  • D. TA
    TA is the postcode area in southwest England that covers Taunton and surrounding towns including Minehead.
  • E. TA
    TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
  • 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_69c008d9f4348190ab598a2913259a1c completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068390af08190967a3d25ec9a50e5 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d9820f08190b12754d94507228f completed March 27, 2026, 7:11 a.m.
NEDg Description generation batch_69c62e6ba24481908845287b0eb65f3c completed March 27, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69c62ecd35a88190a819b5764ecfbe55 completed March 27, 2026, 7:16 a.m.
Created at: March 22, 2026, 4:33 p.m.