Triple
T15183433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الكوثر |
E362805
|
entity |
| Predicate | تتعلق بفضيلة |
P21327
|
FINISHED |
| Object | الصلاة |
—
|
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: الصلاة | Statement: [سورة الكوثر, تتعلق بفضيلة, الصلاة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تتعلق بفضيلة Context triple: [سورة الكوثر, تتعلق بفضيلة, الصلاة]
-
A.
associatedPrayer
chosen
Indicates a relationship where a specific prayer is linked or connected to another entity, such as an event, object, person, or religious context.
-
B.
involvesClergy
Indicates that the situation, event, or action includes the participation or presence of clergy members.
-
C.
関連事件
Indicates a relationship where one event is connected or related to another event, typically as part of the same case, incident, or context.
-
D.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
E.
relatedPaliName
Indicates that one entity has an associated or corresponding name expressed in Pali for the other entity.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:09 a.m.