Triple
T34754673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عِلِّيِّينَ |
E1001883
|
entity |
| Predicate | عدد_الحروف_تقريباً |
P7444
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [عِلِّيِّينَ, عدد_الحروف_تقريباً, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد_الحروف_تقريباً Context triple: [عِلِّيِّينَ, عدد_الحروف_تقريباً, 7]
-
A.
hasApproximateNumberOfLetters
chosen
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
-
B.
lengthInArabicWordsApprox
Indicates that the approximate length of something is expressed in Arabic words.
-
C.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
D.
عدد كلماتها التقريبي
Indicates an approximate count of the number of words associated with an entity.
-
E.
approximateNumberOfVerses
Indicates an estimated or approximate count of verses associated with an entity.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.