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.