Triple
T12428918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | النَّازِعَات |
E296971
|
entity |
| Predicate | تفتتح بالقسم بـ |
P54438
|
FINISHED |
| Object | الملائكة النازعات |
—
|
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: الملائكة النازعات | Statement: [النَّازِعَات, تفتتح بالقسم بـ, الملائكة النازعات]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تفتتح بالقسم بـ Context triple: [النَّازِعَات, تفتتح بالقسم بـ, الملائكة النازعات]
-
A.
isOpeningSectionOf
chosen
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
B.
openedSectionBetween
Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
-
C.
openedWithSection
Indicates that something (such as a document, file, or resource) is opened starting from or via a specific section.
-
D.
originalOpeningSection
Indicates that one section is the initial or first opening section of another work, document, or structured content.
-
E.
firstSectionOpened
Indicates that the initial section in a sequence or structure has been opened or activated.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.