Triple

T8930407
Position Surface form Disambiguated ID Type / Status
Subject VOW E212637 entity
Predicate hasRelatedTicker P45350 FINISHED
Object VOW3
VOW3 is the preferred share class of Volkswagen AG traded on the German stock exchange.
E212637 NE FINISHED

How this triple was built (5 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: VOW3 | Statement: [VOW, hasRelatedTicker, VOW3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOW3
Context triple: [VOW, hasRelatedTicker, VOW3]
  • A. VOW
    VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
  • B. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • C. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • D. VOCI
    VOCI is the ICAO airport code for Cochin International Airport in Kochi, India, a major international gateway in the state of Kerala.
  • E. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • 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: VOW3
Triple: [VOW, hasRelatedTicker, VOW3]
Generated description
VOW3 is the preferred share class of Volkswagen AG traded on the German stock exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VOW3
Target entity description: VOW3 is the preferred share class of Volkswagen AG traded on the German stock exchange.
  • A. VOW chosen
    VOW is the primary stock ticker for Volkswagen AG shares listed on the Frankfurt Stock Exchange.
  • B. VOZ
    VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
  • C. VOZ
    VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
  • D. VOCI
    VOCI is the ICAO airport code for Cochin International Airport in Kochi, India, a major international gateway in the state of Kerala.
  • E. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelatedTicker
Context triple: [VOW, hasRelatedTicker, VOW3]
  • A. associatedWithTicker chosen
    Indicates that an entity is linked or connected to a specific stock market ticker symbol.
  • B. hasUnderlyingExchangeTicker
    Indicates that one financial instrument is based on, or derives its value from, another instrument identified by a specific exchange ticker.
  • C. underlyingCompanyTicker
    Indicates that one entity is the stock ticker symbol corresponding to the underlying company of another financial instrument or entity.
  • D. tickerSymbol
    Indicates the association between a financial instrument or company and its unique abbreviated code used for trading on a securities exchange.
  • E. parentCompanyTicker
    Indicates the stock market ticker symbol associated with the parent company of a given entity.
  • F. None of above.

Provenance (6 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6676d5d881908ce78cbb5561a68b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba63544081909394500f28b34ccb completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbc685bf08190a716a28cc9bcd031 completed April 3, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_69cfbcc19ee081909e564040fea2ad9a completed April 3, 2026, 1:12 p.m.
PD Predicate disambiguation batch_69cc5ed3286c8190a21de2ee11f2639f completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:57 p.m.