Triple
T10044721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawamim surahs |
E207585
|
entity |
| Predicate | emphasizeConcept |
P49381
|
FINISHED |
| Object | oneness of God (tawhid) |
—
|
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: oneness of God (tawhid) | Statement: [Hawamim surahs, emphasizeConcept, oneness of God (tawhid)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizeConcept Context triple: [Hawamim surahs, emphasizeConcept, oneness of God (tawhid)]
-
A.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
B.
primaryConcept
chosen
Indicates that one concept is the main or central idea in relation to another concept or context.
-
C.
designEmphasizes
Indicates that a design intentionally places special importance or focus on a particular feature, principle, or aspect over others.
-
D.
introducedConcept
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
-
E.
dedicatedToConcept
Indicates that something is specifically devoted, committed, or purposefully directed toward a particular concept or abstract idea.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf62ecf081909c055171b78a883a |
completed | April 2, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:56 p.m.