Triple

T291360
Position Surface form Disambiguated ID Type / Status
Subject Volkswagen Group E6000 entity
Predicate tradesAs P10476 FINISHED
Object VWAG
VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
E37751 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: VWAG | Statement: [Volkswagen Group, tradesAs, VWAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VWAG
Context triple: [Volkswagen Group, tradesAs, VWAG]
  • A. WDG
    WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. GVB
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • 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: VWAG
Triple: [Volkswagen Group, tradesAs, VWAG]
Generated description
VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VWAG
Target entity description: VWAG is the stock ticker symbol under which the multinational automotive manufacturer Volkswagen Group is publicly traded.
  • A. WDG
    WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. GVB
    GVB is Amsterdam’s primary public transport company, operating the city’s trams, buses, metro, and ferries.
  • D. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • E. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tradesAs
Context triple: [Volkswagen Group, tradesAs, VWAG]
  • A. trades
    Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
  • B. tradedOn
    Indicates that an asset, security, or instrument is bought and sold on a particular exchange or trading venue.
  • C. tradesInstrument
    Indicates that one party engages in buying, selling, or exchanging a specified financial or tradable instrument.
  • D. frequentlyTradedAgainst
    Indicates that two entities are commonly exchanged or traded with each other in a significant number of transactions over time.
  • E. isMostTradedCurrency
    Indicates that a currency is the one with the highest trading volume or frequency in a given market or context.
  • F. None of above. chosen

Provenance (7 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea0dd1dc8190aecd5afdeb2fd74b completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3a33be60481908016ef90c44498a7 completed March 1, 2026, 2:23 a.m.
NEDg Description generation batch_69a3a4068610819086b8a58a0a9198b7 completed March 1, 2026, 2:27 a.m.
NED2 Entity disambiguation (via description) batch_69a3a49050ec8190b81afc1407187e3f completed March 1, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69a2e934b4408190b53a17f57a02df65 completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea07e3bc8190bae593b3264de211 completed Feb. 28, 2026, 1:13 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.