Triple
T30818228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتب الستة |
E784842
|
entity |
| Predicate | يُعتنى_بها_في |
P120650
|
FINISHED |
| Object | دور الحديث والمدارس الشرعية في العالم الإسلامي |
—
|
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: دور الحديث والمدارس الشرعية في العالم الإسلامي | Statement: [الكتب الستة, يُعتنى_بها_في, دور الحديث والمدارس الشرعية في العالم الإسلامي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُعتنى_بها_في Context triple: [الكتب الستة, يُعتنى_بها_في, دور الحديث والمدارس الشرعية في العالم الإسلامي]
-
A.
tookCareOf
Indicates that one entity provided care, support, or maintenance for another entity over a period of time.
-
B.
concernedRite
Indicates that a rite, ritual, or ceremonial act is the focus or subject of concern, involvement, or relevance in the relationship.
-
C.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
D.
يراقب
Indicates that one entity is watching, monitoring, or observing another entity or situation.
-
E.
betreft
chosen
Indicates that something concerns, relates to, or is about something or someone.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6906ad50481909a700664e0b70fb0 |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:44 p.m.