Triple

T3231250
Position Surface form Disambiguated ID Type / Status
Subject Kaduna State E67743 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KD
KD is the official vehicle registration code used to identify motor vehicles registered in Kaduna State, Nigeria.
E339149 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: KD | Statement: [Kaduna State, vehicleRegistrationCode, KD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KD
Context triple: [Kaduna State, vehicleRegistrationCode, KD]
  • A. KD
    KD is the widely used nickname of Kevin Durant, an elite NBA scorer and multi-time champion regarded as one of the greatest basketball players of his generation.
  • B. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • C. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • 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: KD
Triple: [Kaduna State, vehicleRegistrationCode, KD]
Generated description
KD is the official vehicle registration code used to identify motor vehicles registered in Kaduna State, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KD
Target entity description: KD is the official vehicle registration code used to identify motor vehicles registered in Kaduna State, Nigeria.
  • A. KD
    KD is the widely used nickname of Kevin Durant, an elite NBA scorer and multi-time champion regarded as one of the greatest basketball players of his generation.
  • B. DK
    DK is the ISO 3166-1 alpha-2 country code for Denmark, a Nordic nation in Northern Europe.
  • C. DK
    DK is a British illustrated reference publisher best known for its highly visual nonfiction books for children and adults across topics like science, history, travel, and nature.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaed99d2c8190950fa883ec6f1f8e completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2773492f88190ad97879f29875ae4 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b277e70c648190af38b7939be90e67 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27879ff6081909f7d7f474d46ac4b completed March 12, 2026, 8:25 a.m.
Created at: March 8, 2026, 3:08 p.m.