Triple

T1418253
Position Surface form Disambiguated ID Type / Status
Subject West Bengal E31965 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object WB
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
 E162693 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: WB | Statement: [West Bengal, vehicleRegistrationCode, WB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WB
Context triple: [West Bengal, vehicleRegistrationCode, WB]
  • A. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • B. WRB
    WRB is the acronym for the War Refugee Board, a U.S. government agency established during World War II to aid civilian victims of the Nazis.
  • C. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • D. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • E. W
    W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
  • 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: WB
Triple: [West Bengal, vehicleRegistrationCode, WB]
Generated description
WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WB
Target entity description: WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • A. BW
    BW is the common abbreviation for the Dutch Civil Code, the primary body of private law in the Netherlands.
  • B. WRB
    WRB is the acronym for the War Refugee Board, a U.S. government agency established during World War II to aid civilian victims of the Nazis.
  • C. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • D. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • E. W
    The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5857d6c8190902eecd7bb12cbaf completed March 8, 2026, 2:57 a.m.
NEDg Description generation batch_69ace78168f481908133d74a52a7f6c9 completed March 8, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69aceb4ac6bc8190a3d0b44f922d5302 completed March 8, 2026, 3:21 a.m.
Created at: March 1, 2026, 7:59 p.m.