Triple

T2949315
Position Surface form Disambiguated ID Type / Status
Subject Delhi E79579 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object DL
DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
 E312197 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 | Statement: [Delhi, vehicleRegistrationCode, DL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DL
Context triple: [Delhi, vehicleRegistrationCode, DL]
  • A. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • B. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • C. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • 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
Triple: [Delhi, vehicleRegistrationCode, DL]
Generated description
DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DL
Target entity description: DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
  • A. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • B. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • C. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • D. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • E. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98f95da88190a036a18f39f221c2 completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0869732d08190bdb6f6c76411ade1 completed March 10, 2026, 9:01 p.m.
NEDg Description generation batch_69b0d2f9eef48190a3c4ad05251bdfdd completed March 11, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69b0d358b3d0819087bf309f8a6a06c2 completed March 11, 2026, 2:28 a.m.
Created at: March 8, 2026, 2:57 p.m.