Triple
T19646380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | زَيْن |
E471681
|
entity |
| Predicate | مقابل معنوي |
P35001
|
FINISHED |
| Object | القُبح |
—
|
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: القُبح | Statement: [زَيْن, مقابل معنوي, القُبح]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مقابل معنوي Context triple: [زَيْن, مقابل معنوي, القُبح]
-
A.
mentalElement
Indicates that one entity is a mental component, state, or aspect that participates in, underlies, or contributes to another entity, such as a cognitive process, attitude, or psychological condition.
-
B.
emotionalCounterpartOf
Indicates that one entity serves as the emotional equivalent, complement, or matching emotional role of another entity.
-
C.
typeOfOpposition
chosen
Indicates a relationship where one entity stands in opposition or contrast to another, such as being a rival, adversary, or countering force.
-
D.
spiritualMeans
Indicates that one entity serves as a spiritual method, medium, or pathway through which another entity attains or engages in a spiritual state, goal, or practice.
-
E.
moralRealization
Indicates the recognition or coming to understand a moral truth, principle, or ethical implication about a situation or action.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641250e108190a707452fefc87041 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.