Triple

T6350394
Position Surface form Disambiguated ID Type / Status
Subject Volvo Group E142854 entity
Predicate tickerSymbol P1447 FINISHED
Object VOLV A
VOLV A is a class of Volvo Group shares traded on the Nasdaq Stockholm stock exchange.
E587333 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: VOLV A | Statement: [Volvo Group, tickerSymbol, VOLV A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOLV A
Context triple: [Volvo Group, tickerSymbol, VOLV A]
  • A. Volvo Cars
    Volvo Cars is a Swedish automotive manufacturer known for its focus on safety, practical design, and premium vehicles.
  • B. Volvo V60
    The Volvo V60 is a premium compact estate car known for its Scandinavian design, advanced safety features, and practical yet upscale interior.
  • C. Volvo V50
    The Volvo V50 is a compact premium station wagon produced by the Swedish automaker Volvo, known for its safety features, practical interior, and European styling.
  • D. Volvo V90
    The Volvo V90 is a premium mid-size estate car known for its Scandinavian design, advanced safety features, and practical yet luxurious interior.
  • E. Volvo S60
    The Volvo S60 is a compact executive sedan known for its Scandinavian design, strong safety features, and comfortable, refined driving experience.
  • 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: VOLV A
Triple: [Volvo Group, tickerSymbol, VOLV A]
Generated description
VOLV A is a class of Volvo Group shares traded on the Nasdaq Stockholm stock exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VOLV A
Target entity description: VOLV A is a class of Volvo Group shares traded on the Nasdaq Stockholm stock exchange.
  • A. Volvo Cars
    Volvo Cars is a Swedish automotive manufacturer known for its focus on safety, practical design, and premium vehicles.
  • B. Volvo V60
    The Volvo V60 is a premium compact estate car known for its Scandinavian design, advanced safety features, and practical yet upscale interior.
  • C. Volvo V50
    The Volvo V50 is a compact premium station wagon produced by the Swedish automaker Volvo, known for its safety features, practical interior, and European styling.
  • D. Volvo V90
    The Volvo V90 is a premium mid-size estate car known for its Scandinavian design, advanced safety features, and practical yet luxurious interior.
  • E. Volvo S60
    The Volvo S60 is a compact executive sedan known for its Scandinavian design, strong safety features, and comfortable, refined driving experience.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067bcec2c8190bb383605847b0f0b completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6044fcd288190abdc5746e2904928 completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c6083573c48190ba629b72cbaf4ef3 completed March 27, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_69c6092e12d481909b41fd35d6ae1d57 completed March 27, 2026, 4:35 a.m.
Created at: March 22, 2026, 4:31 p.m.