Triple
T35026680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 83:2 |
E1010355
|
entity |
| Predicate | verseOpeningWords |
P104675
|
FINISHED |
| Object | الَّذِينَ إِذَا |
—
|
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: الَّذِينَ إِذَا | Statement: [Quran 83:2, verseOpeningWords, الَّذِينَ إِذَا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verseOpeningWords Context triple: [Quran 83:2, verseOpeningWords, الَّذِينَ إِذَا]
-
A.
openingVerseBy
Indicates that a work’s opening verse is authored, performed, or otherwise created by the specified entity.
-
B.
introitOpeningWords
Indicates the relationship between a liturgical introit and the specific opening words with which it begins.
-
C.
openingVerb
Indicates that an entity performs the initial or primary action that begins an event, process, or interaction.
-
D.
openingVerses
Indicates that one text or section contains the initial or introductory verses of another text or composition.
-
E.
openingVerseText
chosen
Indicates the specific text used as the opening verse of a work, performance, or section.
- 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_69f76dccf0108190af43b465d3750196 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.