Triple

T20902188
Position Surface form Disambiguated ID Type / Status
Subject Club Vistara E514699 entity
Predicate hasTier P2393 FINISHED
Object CV Base
CV Base is the entry-level frequent flyer tier in Club Vistara’s loyalty program, offering basic membership benefits to new or infrequent travelers.
E1456660 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: CV Base | Statement: [Club Vistara, hasTier, CV Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CV Base
Context triple: [Club Vistara, hasTier, CV Base]
  • A. C.V.
    C.V. is the autobiographical section of Stephen King’s book "On Writing," in which he recounts key experiences from his life that shaped him as a writer.
  • B. CV
    CV is a common abbreviation for Chula Vista, a coastal city in Southern California located just south of San Diego.
  • C. CV
    CV is the ISO 3166-1 alpha-2 country code for Cape Verde, an island nation off the west coast of Africa.
  • D. CV
    CV is the standard abbreviation for the Central Vermont Railway, a historic regional railroad that operated primarily in Vermont and neighboring areas.
  • E. CV
    CV is the post-nominal abbreviation used to denote recipients of the Cross of Valour, a high-level decoration for extraordinary bravery.
  • 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: CV Base
Triple: [Club Vistara, hasTier, CV Base]
Generated description
CV Base is the entry-level frequent flyer tier in Club Vistara’s loyalty program, offering basic membership benefits to new or infrequent travelers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CV Base
Target entity description: CV Base is the entry-level frequent flyer tier in Club Vistara’s loyalty program, offering basic membership benefits to new or infrequent travelers.
  • A. C.V.
    C.V. is the autobiographical section of Stephen King’s book "On Writing," in which he recounts key experiences from his life that shaped him as a writer.
  • B. CV
    CV is a common abbreviation for Chula Vista, a coastal city in Southern California located just south of San Diego.
  • C. CV
    CV is the standard abbreviation for the Central Vermont Railway, a historic regional railroad that operated primarily in Vermont and neighboring areas.
  • D. CV
    CV is the ISO 3166-1 alpha-2 country code for Cape Verde, an island nation off the west coast of Africa.
  • E. CV
    CV is the post-nominal abbreviation used to denote recipients of the Cross of Valour, a high-level decoration for extraordinary bravery.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fd7e4481909088b7f74ba24549 completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918d4dd548190a18f917a91eca161 completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a0919aae8e88190abd9e20ff1cecebe completed May 17, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a091a6dc2c8819090618097438a2c00 completed May 17, 2026, 1:31 a.m.
Created at: April 16, 2026, 12:47 p.m.