Triple

T937188
Position Surface form Disambiguated ID Type / Status
Subject North Rhine-Westphalia E20221 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object NW
NW is an abbreviation used as a vehicle registration code associated with the German federal state of North Rhine-Westphalia.
 E111669 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: NW | Statement: [North Rhine-Westphalia, hasVehicleRegistrationCode, NW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NW
Context triple: [North Rhine-Westphalia, hasVehicleRegistrationCode, NW]
  • A. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • B. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • C. North
    North is an English surname historically associated with several notable figures in British politics and society.
  • D. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • E. West
    West is the commonly used short form for the NBA’s Western Conference, one of the league’s two main competitive groupings.
  • 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: NW
Triple: [North Rhine-Westphalia, hasVehicleRegistrationCode, NW]
Generated description
NW is an abbreviation used as a vehicle registration code associated with the German federal state of North Rhine-Westphalia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NW
Target entity description: NW is an abbreviation used as a vehicle registration code associated with the German federal state of North Rhine-Westphalia.
  • A. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • B. NM
    NM is the standard two-letter U.S. postal abbreviation for the state of New Mexico.
  • C. North
    North is an English surname historically associated with several notable figures in British politics and society.
  • D. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • E. West
    West is the surname of Kanye West, the influential American rapper, producer, and fashion designer.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3668a3c8190b0152166efa93ee1 completed March 1, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e0dd188190bf5776a6e4525fdd completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a885e7a3e08190b3f04f9aa327f65f completed March 4, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69a8870c6c6881909bc24ea5240f4697 completed March 4, 2026, 7:25 p.m.
Created at: March 1, 2026, 7:40 p.m.