Triple
T30818223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الكتب الستة |
E784842
|
entity |
| Predicate | يُستشهد_بها_في |
P41975
|
FINISHED |
| Object | كتب العقيدة السنية |
—
|
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: كتب العقيدة السنية | Statement: [الكتب الستة, يُستشهد_بها_في, كتب العقيدة السنية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُستشهد_بها_في Context triple: [الكتب الستة, يُستشهد_بها_في, كتب العقيدة السنية]
-
A.
usedAsExampleIn
chosen
Indicates that one entity is cited or presented as an illustrative example within another entity, such as a text, discussion, or explanation.
-
B.
usedInLegalCitation
Indicates that one entity is referenced or relied upon as an authoritative source within a legal citation to support legal arguments or decisions.
-
C.
usedInArgumentAbout
Indicates that something (such as a statement, example, or piece of evidence) is employed as part of the reasoning or support within a particular argument or debate.
-
D.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
E.
alsoUsedIn
Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
- 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.