Triple
T1586082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Maryam |
E34067
|
entity |
| Predicate | verseStyle |
P6967
|
FINISHED |
| Object | rhythmic prose |
—
|
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: rhythmic prose | Statement: [Surah Maryam, verseStyle, rhythmic prose]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verseStyle Context triple: [Surah Maryam, verseStyle, rhythmic prose]
-
A.
verseForm
chosen
Indicates the specific structural or metrical pattern in which a verse or poem is composed.
-
B.
editingStyle
Indicates the characteristic manner or approach used when revising, arranging, or refining content.
-
C.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
D.
majorStyle
Indicates the primary artistic, aesthetic, or methodological style that characterizes or dominates something in relation to others.
-
E.
verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.