Triple

T1436807
Position Surface form Disambiguated ID Type / Status
Subject West Bengal E30575 entity
Predicate ISOCode P208 FINISHED
Object IN-WB
IN-WB is the ISO 3166-2 code that uniquely identifies the Indian state of West Bengal in international standards.
 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: IN-WB | Statement: [West Bengal, ISOCode, IN-WB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: IN-WB
Context triple: [West Bengal, ISOCode, IN-WB]
  • A. WB
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • B. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • C. 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.
  • D. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • 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: IN-WB
Triple: [West Bengal, ISOCode, IN-WB]
Generated description
IN-WB is the ISO 3166-2 code that uniquely identifies the Indian state of West Bengal in international standards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: IN-WB
Target entity description: IN-WB is the ISO 3166-2 code that uniquely identifies the Indian state of West Bengal in international standards.
  • A. WB chosen
    WB is the official vehicle registration code used for motor vehicles registered in the Indian state of West Bengal.
  • B. WBD
    WBD is the stock ticker symbol for Warner Bros. Discovery, a major global media and entertainment company.
  • C. 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.
  • D. WU
    WU is a leading European university in Vienna specializing in economics, business, and social sciences.
  • E. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • F. None of above.

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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c50418d08190ace2cab98af87f29 completed March 1, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b81a2c8190a47b1f960cf17f9d completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad09bb040c8190bf014a9ff2249169 completed March 8, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a9956f8819081fd866c6f1ae5c7 completed March 8, 2026, 5:35 a.m.
Created at: March 1, 2026, 8 p.m.