Triple
T7347846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takaful |
E169422
|
entity |
| Predicate | surplusTreatment |
P76722
|
FINISHED |
| Object | may be distributed to participants or retained for reserves |
—
|
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: may be distributed to participants or retained for reserves | Statement: [Takaful, surplusTreatment, may be distributed to participants or retained for reserves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surplusTreatment Context triple: [Takaful, surplusTreatment, may be distributed to participants or retained for reserves]
-
A.
treats
Indicates that one entity provides medical care or therapeutic intervention to another entity.
-
B.
subsequentTreatment
Indicates that one treatment occurs after and in response to a prior treatment or medical event.
-
C.
sanction
Indicates the imposition of an official penalty or restrictive measure by an authority in response to certain actions or behaviors.
-
D.
treatment
Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
-
E.
replenishment
Indicates the action or process of refilling or restoring a resource, supply, or quantity to a desired or original level.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1379cac81908b35e617c44c7b13 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:05 p.m.