Triple
T12765007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة المطففين |
E305099
|
entity |
| Predicate | تفتتح بحرف |
P3818
|
FINISHED |
| Object | الواو في كلمة وَيْلٌ |
—
|
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: الواو في كلمة وَيْلٌ | Statement: [سورة المطففين, تفتتح بحرف, الواو في كلمة وَيْلٌ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تفتتح بحرف Context triple: [سورة المطففين, تفتتح بحرف, الواو في كلمة وَيْلٌ]
-
A.
openingCharacter
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
B.
firstLetter
chosen
Indicates that one entity is the initial character or starting letter of another entity (typically a string or word).
-
C.
openingMovementCharacter
Indicates the characteristic or quality that defines how the opening movement of a work is expressed or perceived.
-
D.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
E.
eachStanzaBeginsWithLetterOf
Indicates that every stanza in a text starts with a specific given letter.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.