Triple
T3909126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruqʿah |
E87278
|
entity |
| Predicate | differenceFromThuluth |
P11832
|
FINISHED |
| Object | less decorative |
—
|
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: less decorative | Statement: [Ruqʿah, differenceFromThuluth, less decorative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromThuluth Context triple: [Ruqʿah, differenceFromThuluth, less decorative]
-
A.
typicalUseComparedToThuluth
chosen
Indicates how the typical or customary usage of one script, style, or item compares to that of Thuluth.
-
B.
kuficOrder
Indicates that one entity commissions, arranges, or prescribes the creation or use of Kufic script in relation to another entity.
-
C.
hasDistinctLetterForms
Indicates that the related writing system or symbol set uses different visual shapes or styles for the same letter in different contexts (such as position, case, or usage).
-
D.
containsMuqattaat
Indicates that the referenced text or verse includes muqattaat, the disjointed or abbreviated Arabic letters that appear at the beginnings of some Quranic chapters.
-
E.
verseTextArabic
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75cff148190b6d5979d17fae085 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.