Triple
T8783772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jehovah’s Witnesses congregations |
E208994
|
entity |
| Predicate | financialSupport |
P154
|
FINISHED |
| Object | voluntary donations |
—
|
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: voluntary donations | Statement: [Jehovah’s Witnesses congregations, financialSupport, voluntary donations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financialSupport Context triple: [Jehovah’s Witnesses congregations, financialSupport, voluntary donations]
-
A.
financialResponsibility
Indicates that one entity is obligated to bear the costs, debts, or economic consequences associated with another entity or activity.
-
B.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
C.
funds
chosen
Indicates that one entity provides financial resources or monetary support to another entity or activity.
-
D.
possibleAdditionalFunding
Indicates that there is a potential for securing or providing further financial resources beyond what has already been allocated or committed.
-
E.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f72f4bc8190b85bd051d3db6881 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.