Triple
T34994583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 83:1 |
E1009488
|
entity |
| Predicate | ArabicText |
P50395
|
FINISHED |
| Object | وَيْلٌ لِلْمُطَفِّفِينَ |
—
|
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: وَيْلٌ لِلْمُطَفِّفِينَ | Statement: [Quran 83:1, ArabicText, وَيْلٌ لِلْمُطَفِّفِينَ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArabicText Context triple: [Quran 83:1, ArabicText, وَيْلٌ لِلْمُطَفِّفِينَ]
-
A.
verseTextArabic
chosen
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
-
B.
titleInArabicScript
Indicates that an entity’s title is represented in Arabic script.
-
C.
ArabicTitleDerivedFrom
Indicates that one entity’s Arabic title is linguistically or conceptually derived from the title of another entity.
-
D.
hasOpeningWordsArabic
Indicates that an entity (such as a text, document, or work) has specific opening words expressed in the Arabic language.
-
E.
titleInArabic
Indicates that an entity’s title is expressed in the Arabic language.
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.