Triple
T14436710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الهمزة |
E357981
|
entity |
| Predicate | عدد الكلمات |
P113736
|
FINISHED |
| Object | 33 تقريباً |
—
|
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: 33 تقريباً | Statement: [سورة الهمزة, عدد الكلمات, 33 تقريباً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد الكلمات Context triple: [سورة الهمزة, عدد الكلمات, 33 تقريباً]
-
A.
عدد كلماتها التقريبي
chosen
Indicates an approximate count of the number of words associated with an entity.
-
B.
عدد المقاطع
Indicates the number of segments or parts into which something is divided.
-
C.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
D.
حكم تلاوتها
Indicates the ruling or legal judgment regarding the recitation of something (e.g., whether its recitation is obligatory, recommended, permissible, disliked, or forbidden).
-
E.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9148cf4481909082cc91b2f76218 |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.