Triple
T23704741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 27:18 |
E585685
|
entity |
| Predicate | arabicOpeningWords |
P114900
|
FINISHED |
| Object | حَتَّىٰ إِذَا أَتَوْا عَلَىٰ وَادِ النَّمْلِ |
—
|
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: حَتَّىٰ إِذَا أَتَوْا عَلَىٰ وَادِ النَّمْلِ | Statement: [Quran 27:18, arabicOpeningWords, حَتَّىٰ إِذَا أَتَوْا عَلَىٰ وَادِ النَّمْلِ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arabicOpeningWords Context triple: [Quran 27:18, arabicOpeningWords, حَتَّىٰ إِذَا أَتَوْا عَلَىٰ وَادِ النَّمْلِ]
-
A.
hasOpeningWordsArabic
chosen
Indicates that an entity (such as a text, document, or work) has specific opening words expressed in the Arabic language.
-
B.
openingWordsHebrew
Indicates that the specified words are the opening (initial) words of a text or passage in Hebrew.
-
C.
revealedInArabicOrder
Indicates that something was disclosed or made known following the original sequence in which it was revealed in Arabic.
-
D.
verseTextArabic
Indicates the Arabic-language text content associated with a specific verse in a scriptural or poetic work.
-
E.
meaningInArabicRelatedForm
Indicates that one entity expresses the meaning of another entity in Arabic through a related or derived linguistic form.
- 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b685dfc8819081906aceab7b0bdd |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.