Triple
T18861910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYSE: CBS.A |
E461330
|
entity |
| Predicate | corporateActionExamples |
P87437
|
FINISHED |
| Object | 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: dividends | Statement: [NYSE: CBS.A, corporateActionExamples, dividends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corporateActionExamples Context triple: [NYSE: CBS.A, corporateActionExamples, dividends]
-
A.
corporateActionType
chosen
Indicates the specific kind of corporate event or operation (such as mergers, dividends, or restructurings) that an entity undertakes or is involved in.
-
B.
hasCorporateActionsOn
Indicates that one entity performs, records, or is associated with corporate actions (such as dividends, splits, or mergers) that affect another entity.
-
C.
corporateActionsProcessedThrough
Indicates that corporate actions are executed, handled, or routed via a specified intermediary, system, or process.
-
D.
hasCorporateActionHistory
Indicates that an entity is associated with a record or sequence of past corporate actions or events that have affected it.
-
E.
associatedCompanyAction
Indicates that an action is performed by, on behalf of, or in direct connection with a particular company.
- F. None of above.
Provenance (3 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c06184d88190bd05413a07a8c9ce |
completed | April 20, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.