Triple
T7907242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maktab al-Khidamat |
E183606
|
entity |
| Predicate | financingSource |
P65105
|
FINISHED |
| Object | private donors from the Gulf states |
—
|
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: private donors from the Gulf states | Statement: [Maktab al-Khidamat, financingSource, private donors from the Gulf states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: financingSource Context triple: [Maktab al-Khidamat, financingSource, private donors from the Gulf states]
-
A.
loanSource
Indicates that one entity is the origin or provider of a loan extended to another entity.
-
B.
secondaryFundingSource
Indicates that an entity has an additional, non-primary source of financial support or funding.
-
C.
sourceOfCapital
chosen
Indicates the origin or provider from which an entity obtains its financial capital or funding.
-
D.
wealthSource
Indicates the relationship by which an entity obtains or derives its wealth from a particular source.
-
E.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5871b8819087ad69c116c40091 |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:03 p.m.