Triple
T1473508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zakat |
E27188
|
entity |
| Predicate | rate |
P29104
|
FINISHED |
| Object | 2.5% on most monetary wealth |
—
|
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: 2.5% on most monetary wealth | Statement: [Zakat, rate, 2.5% on most monetary wealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rate Context triple: [Zakat, rate, 2.5% on most monetary wealth]
-
A.
rating
Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
-
B.
charge
Indicates that one entity formally accuses another of an offense or imposes a financial cost or obligation on them.
-
C.
fare
Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
-
D.
dataRate
Indicates the rate at which data is transmitted, processed, or transferred between entities over a given time interval.
-
E.
range
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:01 p.m.