Triple
T4894953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real IRA |
E109653
|
entity |
| Predicate | financingMethods |
P59
|
FINISHED |
| Object | criminal activities |
—
|
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: criminal activities | Statement: [Real IRA, financingMethods, criminal activities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financingMethods Context triple: [Real IRA, financingMethods, criminal activities]
-
A.
billingMethod
Indicates the way in which payment is arranged, processed, or charged for a product, service, or account.
-
B.
paymentMethod
Indicates the means or instrument through which a payment is made in a transaction.
-
C.
finType
Indicates that an entity is of a finite type, meaning it has only a finite number of distinct possible values or elements.
-
D.
fundingModel
chosen
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
E.
loanType
Indicates the specific category or kind of loan associated with an entity or transaction.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.