Triple
T1086335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Islamic Endowments of Egypt |
E24058
|
entity |
| Predicate | typeOfEndowmentsManaged |
P14891
|
FINISHED |
| Object | waqf |
—
|
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: waqf | Statement: [Ministry of Islamic Endowments of Egypt, typeOfEndowmentsManaged, waqf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEndowmentsManaged Context triple: [Ministry of Islamic Endowments of Egypt, typeOfEndowmentsManaged, waqf]
-
A.
endowmentCurrency
Indicates the type of currency in which an endowment is denominated or valued.
-
B.
endowment
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
C.
hasEndowmentType
chosen
Indicates that an entity is associated with a particular category or type of endowment.
-
D.
hasTypeOfManagement
Indicates that an entity is associated with or operates under a specified form or style of management.
-
E.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b963161081908a523c8d63871652 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7407914819092ed933a7316b450 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.