Triple
T15350970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة تبت |
E367048
|
entity |
| Predicate | تُظهر جانباً من |
P99255
|
FINISHED |
| Object | عداوة قريش للدعوة الإسلامية |
—
|
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: عداوة قريش للدعوة الإسلامية | Statement: [سورة تبت, تُظهر جانباً من, عداوة قريش للدعوة الإسلامية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تُظهر جانباً من Context triple: [سورة تبت, تُظهر جانباً من, عداوة قريش للدعوة الإسلامية]
-
A.
isPartiallyVisibleFrom
Indicates that one entity can be seen only in part, rather than fully, from the viewpoint or location of another entity.
-
B.
bodyPartDisplayed
Indicates that a specific body part of an entity is being visibly shown or exposed in a given context.
-
C.
helpedShowcase
Indicates that one entity actively assisted in presenting, promoting, or displaying another entity to an audience.
-
D.
showsContributionTo
chosen
Indicates that one entity demonstrates, reveals, or provides evidence of another entity’s contribution to something.
-
E.
presentAspect
Indicates that an action, state, or event is occurring in the present time frame, often with ongoing or current relevance.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e290efc8190b22c95dcd3e5f57f |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.