Triple

T4324312
Position Surface form Disambiguated ID Type / Status
Subject Douglas, Isle of Man E96598 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object MN
MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
 E431878 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: MN | Statement: [Douglas, Isle of Man, vehicleRegistrationCode, MN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MN
Context triple: [Douglas, Isle of Man, vehicleRegistrationCode, MN]
  • A. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • B. Minnesota
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • C. MO
    MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • D. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • E. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • 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: MN
Triple: [Douglas, Isle of Man, vehicleRegistrationCode, MN]
Generated description
MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MN
Target entity description: MN is the vehicle registration code used on license plates for vehicles registered in Douglas and the rest of the Isle of Man.
  • A. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • B. Minnesota
    Minnesota is a U.S. state known for its numerous lakes, cold winters, and vibrant cultural and economic centers like Minneapolis–Saint Paul.
  • C. MO
    MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • D. MA
    MA is the stock ticker symbol for Mastercard Incorporated, a leading global payments and financial services company.
  • E. MA
    MA is the two-letter ISO 3166-1 alpha-2 country code assigned to Morocco.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35118abe481908b7987019be217e1 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d10a20248190b3214509cb637ff4 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d4f08ac4819097e71276be11403d completed March 14, 2026, 9:36 p.m.
Created at: March 12, 2026, 11:13 p.m.