Triple
T1473462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic finance |
E27187
|
entity |
| Predicate | usesContractType |
P405
|
FINISHED |
| Object | murabaha |
—
|
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: murabaha | Statement: [Islamic finance, usesContractType, murabaha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesContractType Context triple: [Islamic finance, usesContractType, murabaha]
-
A.
typeOfContract
chosen
Indicates the specific kind or category of contractual agreement that applies between the related entities.
-
B.
hasContractWith
Indicates that one entity is bound by a formal contract or agreement with another entity.
-
C.
hasContractStyle
Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasExclusiveContractFor
Indicates that one party holds sole contractual rights to provide, use, or represent a specific product, service, or opportunity, excluding all other potential counterparties.
- 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_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. |
Created at: March 1, 2026, 8:01 p.m.