Triple
T7912518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhul-Qarnayn |
E183732
|
entity |
| Predicate | attributesSuccessTo |
P79741
|
FINISHED |
| Object | mercy of Allah |
—
|
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: mercy of Allah | Statement: [Dhul-Qarnayn, attributesSuccessTo, mercy of Allah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attributesSuccessTo Context triple: [Dhul-Qarnayn, attributesSuccessTo, mercy of Allah]
-
A.
attributesEventTo
Indicates assigning responsibility, origin, or cause of an event to a particular entity.
-
B.
attributeType
Indicates that one entity specifies the kind or category of attribute that characterizes another entity.
-
C.
coreAttribute
Indicates that one attribute is a fundamental, defining, or essential property of another entity.
-
D.
usesAttribute
Indicates that one entity employs, relies on, or makes use of a specific attribute of another entity in performing an action or defining a relationship.
-
E.
commonAttribute
Indicates that two or more entities share the same specified attribute or property.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a7383cc819084eab19799209d2e |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:04 p.m.