Triple
T9288953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AIM securities |
E223466
|
entity |
| Predicate | corporateActionType |
P87437
|
FINISHED |
| Object | rights issues |
—
|
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: rights issues | Statement: [AIM securities, corporateActionType, rights issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corporateActionType Context triple: [AIM securities, corporateActionType, rights issues]
-
A.
hasCorporateActionsOn
Indicates that one entity performs, records, or is associated with corporate actions (such as dividends, splits, or mergers) that affect another entity.
-
B.
typeOfReorganization
Indicates the specific kind or category of organizational restructuring that is being or has been carried out.
-
C.
hasCorporateActionHistory
Indicates that an entity is associated with a record or sequence of past corporate actions or events that have affected it.
-
D.
associatedEventType
Indicates that one entity is linked to another by the type or category of event with which it is associated.
-
E.
operationType
Indicates the specific kind of operation or action being performed or recorded in the relationship between entities.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0862b34c819097cb7c1777313925 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:35 p.m.