Triple
T26309120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qur'an 9:111 |
E661769
|
entity |
| Predicate | portraysBelieversAs |
P172769
|
FINISHED |
| Object | sellers of their lives and 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: sellers of their lives and wealth | Statement: [Qur'an 9:111, portraysBelieversAs, sellers of their lives and wealth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysBelieversAs Context triple: [Qur'an 9:111, portraysBelieversAs, sellers of their lives and wealth]
-
A.
portraysReligionAs
Indicates that one entity represents, depicts, or characterizes a religion in a particular way.
-
B.
portraysAsSaint
Indicates that one entity depicts or represents another entity as a saintly, holy, or morally exemplary figure.
-
C.
instructsBelieversTo
Indicates that a subject gives commands, guidance, or directives specifically to believers to perform or refrain from certain actions.
-
D.
reactionOfBelievers
Indicates how believers respond or behave in reaction to a particular event, message, or situation.
-
E.
religionOfCharacterPortrayed
Indicates that a work portrays a character as adhering to or being associated with a particular religion.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 26, 2026, 10:21 p.m.