Triple
T25843578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الأعراف |
E651002
|
entity |
| Predicate | تفتتح بـ |
P118223
|
FINISHED |
| Object | حروف مقطعة (المص) |
—
|
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: حروف مقطعة (المص) | Statement: [سورة الأعراف, تفتتح بـ, حروف مقطعة (المص)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تفتتح بـ Context triple: [سورة الأعراف, تفتتح بـ, حروف مقطعة (المص)]
-
A.
تُفتتح بدون
Indicates that something is opened or inaugurated without the presence, inclusion, or use of a specified person, thing, or condition.
-
B.
تفتتح بالنداء
Indicates that an utterance or text begins with a vocative call or address to someone.
-
C.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
D.
تُستفتح في التلاوة
chosen
Indicates that a recitation is begun or opened with a particular verse, phrase, or section.
-
E.
openingWorkOf
Indicates that one work serves as the first or introductory piece in relation to another work, such as the opening item in a sequence or collection.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6023662a48190b8eb77eebc225c36 |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:51 a.m.