Triple
T30145823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VWAPY |
E766249
|
entity |
| Predicate | paysDividendsFrom |
P168484
|
FINISHED |
| Object | Volkswagen AG dividends |
—
|
LITERAL FINISHED |
How this triple was built (2 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: Volkswagen AG dividends | Statement: [VWAPY, paysDividendsFrom, Volkswagen AG dividends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paysDividendsFrom Context triple: [VWAPY, paysDividendsFrom, Volkswagen AG dividends]
-
A.
paysDividendsIn
Indicates that one entity distributes dividend payments in the form of a specified asset, currency, or medium to another entity.
-
B.
paysDividends
Indicates that one entity distributes a portion of its earnings as dividends to another entity.
-
C.
paysDividendsThrough
Indicates that one entity distributes dividend payments to another entity by means of a specified intermediary or mechanism.
-
D.
isDividendPaying
Indicates that an entity (typically a financial instrument or company) pays dividends to its shareholders.
-
E.
dividendsBasedOn
Indicates that the amount or occurrence of dividends is determined or calculated based on a specified factor or reference.
- F. None of above. chosen
Provenance (4 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e8b21048190b0fbccb10b2d3523 |
completed | May 2, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:18 p.m.