Triple

T1547096
Position Surface form Disambiguated ID Type / Status
Subject Skopje E33001 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SK
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
 E176348 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: SK | Statement: [Skopje, vehicleRegistrationCode, SK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SK
Context triple: [Skopje, vehicleRegistrationCode, SK]
  • A. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • B. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • C. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • D. SKC
    SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
  • E. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • 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: SK
Triple: [Skopje, vehicleRegistrationCode, SK]
Generated description
SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SK
Target entity description: SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
  • A. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • B. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • C. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • D. SKC
    SKC is the commonly used abbreviation for Sporting Kansas City, a professional Major League Soccer club based in Kansas City.
  • E. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb20dd5a88190b3d6e6f0004fe9b4 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a073bc8190a269cb036775dfe4 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad3117b49881908916e7137f8b655c completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad3179b0148190b69b16b5d2051ece completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:26 p.m.