Triple
T34754675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عِلِّيِّينَ |
E1001883
|
entity |
| Predicate | مرتبط_بمصطلح |
P111023
|
FINISHED |
| Object | الأبرار |
—
|
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: الأبرار | Statement: [عِلِّيِّينَ, مرتبط_بمصطلح, الأبرار]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مرتبط_بمصطلح Context triple: [عِلِّيِّينَ, مرتبط_بمصطلح, الأبرار]
-
A.
relatedToTerm
chosen
Indicates a general, non-specific relationship or association between one term and another.
-
B.
مرتبطب
Indicates a relationship of being connected, associated, or related to something or someone.
-
C.
meaningIsRelatedTo
Indicates that one concept has a semantic or contextual connection to another concept without specifying the exact nature of that relationship.
-
D.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
E.
sentenceRelatedTo
Indicates that there is a meaningful connection or association between two sentences, such as thematic, contextual, or referential relatedness.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.