Triple
T19077729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran |
E466946
|
entity |
| Predicate | twoSonsOfAdamStoryMoral |
P60875
|
FINISHED |
| Object | God accepts only from the righteous |
—
|
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: God accepts only from the righteous | Statement: [Quran, twoSonsOfAdamStoryMoral, God accepts only from the righteous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twoSonsOfAdamStoryMoral Context triple: [Quran, twoSonsOfAdamStoryMoral, God accepts only from the righteous]
-
A.
moralOfMyth
chosen
Indicates the underlying lesson, ethical teaching, or message conveyed by a myth.
-
B.
containsParable
Indicates that one entity includes or incorporates a parable within it.
-
C.
tellsParableTo
Indicates that one entity relates or narrates a parable to another entity.
-
D.
alsoRelatedParable
Indicates that one parable is additionally related to another parable beyond the primary or most obvious connection.
-
E.
hasMoralMessage
Indicates that something conveys or embodies a lesson, value, or guidance about what is right or wrong behavior.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e5591081908a4f8e4b2011b408 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.