Triple

T8373686
Position Surface form Disambiguated ID Type / Status
Subject North Delhi E197519 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DL-1
DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
 E730453 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: DL-1 | Statement: [North Delhi, vehicleRegistrationCode, DL-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DL-1
Context triple: [North Delhi, vehicleRegistrationCode, DL-1]
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. D-1
    D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
  • C. DLH
    DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
  • D. DLH
    DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
  • E. DLJ
    DLJ was the New York Stock Exchange ticker symbol for Donaldson, Lufkin & Jenrette, a prominent U.S. investment bank and securities firm.
  • 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: DL-1
Triple: [North Delhi, vehicleRegistrationCode, DL-1]
Generated description
DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DL-1
Target entity description: DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. D-1
    D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
  • C. DLH
    DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
  • D. DLH
    DLH is the IATA airport code for Duluth International Airport, a commercial and general aviation airport serving Duluth, Minnesota, and the surrounding region.
  • E. DLJ
    DLJ was the New York Stock Exchange ticker symbol for Donaldson, Lufkin & Jenrette, a prominent U.S. investment bank and securities firm.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80a7cab881909d8cca66a340dceb completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7dc7c6081909183716901fd2543 completed April 2, 2026, 3:51 a.m.
NEDg Description generation batch_69cdebf81adc81908feb7b19b5b151c3 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdecc83e408190b9ba1dc8acf5081b completed April 2, 2026, 4:12 a.m.
Created at: March 30, 2026, 6:01 p.m.